Triple

T9195830
Position Surface form Disambiguated ID Type / Status
Subject Rachel Watson E220703 entity
Predicate visits P60586 FINISHED
Object Scott Hipwell after Megan disappears E180120 NE FINISHED

How this triple was built (2 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: Scott Hipwell after Megan disappears | Statement: [Rachel Watson, visits, Scott Hipwell after Megan disappears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Hipwell after Megan disappears
Context triple: [Rachel Watson, visits, Scott Hipwell after Megan disappears]
  • A. Megan Hipwell chosen
    Megan Hipwell is a troubled young woman whose mysterious disappearance drives the central suspense and emotional tension in the psychological thriller film "The Girl on the Train."
  • B. Les McCann
    Les McCann is an American jazz pianist and vocalist known for his soulful, groove-oriented style and influential work in soul jazz and jazz fusion.
  • C. Megan Gill
    Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
  • D. Megan Hunt
    Megan Hunt is the brilliant but emotionally complex medical examiner protagonist of the television series "Body of Proof."
  • E. Megan Morgan
    Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.