Triple

T2246309
Position Surface form Disambiguated ID Type / Status
Subject Samantha Womack E49511 entity
Predicate theatreWork P27669 FINISHED
Object Girl on the Train (stage adaptation)
Girl on the Train (stage adaptation) is a theatrical play based on Paula Hawkins’ bestselling psychological thriller novel, adapted for the stage and known for its tense, suspense-driven portrayal of an unreliable witness to a mysterious disappearance.
E246858 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Girl on the Train (stage adaptation) | Statement: [Samantha Womack, theatreWork, Girl on the Train (stage adaptation)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girl on the Train (stage adaptation)
Context triple: [Samantha Womack, theatreWork, Girl on the Train (stage adaptation)]
  • A. The Girl on the Train
    The Girl on the Train is a psychological thriller film based on Paula Hawkins' bestselling novel, following an alcoholic divorcée who becomes entangled in a missing-person investigation.
  • B. Rabbit Hole
    "Rabbit Hole" is a 2010 drama film, adapted from David Lindsay-Abaire’s Pulitzer Prize–winning play, about a couple coping with the grief of losing their young son.
  • C. The Girl Before
    The Girl Before is a psychological thriller novel by J.P. Delaney, later adapted into a television miniseries, about two women who separately move into a minimalist, high-tech house governed by strict rules and uncover disturbing secrets about its past.
  • D. Gone Girl
    Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
  • E. Three Women
    Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Girl on the Train (stage adaptation)
Triple: [Samantha Womack, theatreWork, Girl on the Train (stage adaptation)]
Generated description
Girl on the Train (stage adaptation) is a theatrical play based on Paula Hawkins’ bestselling psychological thriller novel, adapted for the stage and known for its tense, suspense-driven portrayal of an unreliable witness to a mysterious disappearance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Girl on the Train (stage adaptation)
Target entity description: Girl on the Train (stage adaptation) is a theatrical play based on Paula Hawkins’ bestselling psychological thriller novel, adapted for the stage and known for its tense, suspense-driven portrayal of an unreliable witness to a mysterious disappearance.
  • A. The Girl on the Train
    The Girl on the Train is a psychological thriller film based on Paula Hawkins' bestselling novel, following an alcoholic divorcée who becomes entangled in a missing-person investigation.
  • B. Rabbit Hole
    "Rabbit Hole" is a 2010 drama film, adapted from David Lindsay-Abaire’s Pulitzer Prize–winning play, about a couple coping with the grief of losing their young son.
  • C. The Girl Before
    The Girl Before is a psychological thriller novel by J.P. Delaney, later adapted into a television miniseries, about two women who separately move into a minimalist, high-tech house governed by strict rules and uncover disturbing secrets about its past.
  • D. Gone Girl
    Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
  • E. Three Women
    Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b262488190b6455d1d28d2306d completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b147b388190a20a604cc176191f completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b9edb688190a4e6e4a4ddf964f3 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bfbb6cc81909d647b3875450b4b completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.