Triple

T2953565
Position Surface form Disambiguated ID Type / Status
Subject Magnificent Obsession (1954 film) E79877 entity
Predicate starring P1507 FINISHED
Object Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
 E319765 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: Sara Shane | Statement: [Magnificent Obsession (1954 film), starring, Sara Shane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara Shane
Context triple: [Magnificent Obsession (1954 film), starring, Sara Shane]
  • A. Sara Sedgwick
    Sara Sedgwick was an American woman from a prominent New England literary family who became the wife of William Erasmus Darwin, the eldest son of naturalist Charles Darwin.
  • B. Keely Shaye Smith
    Keely Shaye Smith is an American journalist, author, television host, and environmental activist, best known for her work in environmental advocacy and media.
  • C. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • D. Shyla Leary
    Shyla Leary is known as the spouse of acclaimed American novelist John Irving.
  • E. Sasha Barrese
    Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
  • 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: Sara Shane
Triple: [Magnificent Obsession (1954 film), starring, Sara Shane]
Generated description
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara Shane
Target entity description: Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
  • A. Sara Sedgwick
    Sara Sedgwick was an American woman from a prominent New England literary family who became the wife of William Erasmus Darwin, the eldest son of naturalist Charles Darwin.
  • B. Keely Shaye Smith
    Keely Shaye Smith is an American journalist, author, television host, and environmental activist, best known for her work in environmental advocacy and media.
  • C. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • D. Shyla Leary
    Shyla Leary is known as the spouse of acclaimed American novelist John Irving.
  • E. Sasha Barrese
    Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1defb7b1881908cdca96e0e7fd75c completed March 11, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69b1df8705fc8190827d1d131a6f274a completed March 11, 2026, 9:32 p.m.
Created at: March 8, 2026, 2:57 p.m.