Triple

T20744177
Position Surface form Disambiguated ID Type / Status
Subject Peter’s Friends E510525 entity
Predicate character P662 FINISHED
Object Sarah
Sarah is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of a group of former university friends reuniting for a nostalgic and emotionally revealing weekend.
E511835 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: Sarah | Statement: [Peter’s Friends, character, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Peter’s Friends, character, Sarah]
  • A. Sarah
    Sarah is the given name of American actress Sarah Paulson, known for her versatile roles in film and television, particularly in "American Horror Story" and "The People v. O. J. Simpson."
  • B. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • C. Sarah
    Sarah is the given first name of American actress and model Margaret Qualley, known for roles in projects like "Maid" and "Once Upon a Time in Hollywood."
  • D. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • E. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • 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: Sarah
Triple: [Peter’s Friends, character, Sarah]
Generated description
Sarah is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of a group of former university friends reuniting for a nostalgic and emotionally revealing weekend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of a group of former university friends reuniting for a nostalgic and emotionally revealing weekend.
  • A. Sarah chosen
    Sarah is a fictional character from the 1992 British comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • B. Sarah
    Sarah is a fictional infant daughter character from the film "Jack & Sarah."
  • C. Sarah
    Sarah is a central character in the psychological horror film "It Comes at Night," portrayed as a protective mother struggling to keep her family safe amid a mysterious, deadly threat.
  • D. Sarah
    Sarah is a central character in Alan Ayckbourn’s comedic play trilogy "The Norman Conquests," known for her tightly wound, controlling nature amid the farcical family chaos.
  • E. Sarah
    Sarah is a character associated with the work "Bastard," likely serving as a notable figure within its story.
  • F. None of above.

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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e832ec388190919f57968481c6d1 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e91f9e648190a39d1ff3dc3ca040 completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08e9d349e88190b3fb6b30744df6c5 completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 12:33 p.m.