Triple

T21116792
Position Surface form Disambiguated ID Type / Status
Subject Yes Man (film) E520319 entity
Predicate character P662 FINISHED
Object Peter
Peter is a supporting character in the 2008 comedy film "Yes Man," appearing as part of the protagonist's social circle.
E1468083 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: Peter | Statement: [Yes Man (film), character, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [Yes Man (film), character, Peter]
  • A. Peter
    Peter is one of the two central characters in Edward Albee’s one-act play "The Zoo Story," portrayed as a reserved, middle-class man whose encounter with the volatile Jerry leads to a tense and existential confrontation.
  • B. Peter
    Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
  • C. Peter
    Peter is one of the three allegorical brothers in Jonathan Swift’s satirical work "A Tale of a Tub," representing the excesses and corruptions of the Roman Catholic Church.
  • D. Peter
    Peter is the young, adventurous orphan who becomes the boy that never grows up in the Peter and the Starcatcher prequel to the Peter Pan story.
  • E. Peter
    Peter was one of the leaders of the late 12th-century Bulgarian uprising that restored the Bulgarian Empire against Byzantine rule.
  • 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: Peter
Triple: [Yes Man (film), character, Peter]
Generated description
Peter is a supporting character in the 2008 comedy film "Yes Man," appearing as part of the protagonist's social circle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter
Target entity description: Peter is a supporting character in the 2008 comedy film "Yes Man," appearing as part of the protagonist's social circle.
  • A. Peter
    Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
  • B. Peter
    Peter is the central protagonist in the British black comedy film "Death at a Funeral," around whom the chaotic and farcical events of the story unfold.
  • C. Peter
    Peter is a central character in the darkly comedic short film "The New Tenants," around whom much of the film’s tension and absurdity unfolds.
  • D. Peter
    Peter is the central protagonist of the Danish dark comedy film "Flickering Lights," around whom the story’s criminal caper and character-driven humor revolve.
  • E. Peter
    Peter is a central character in the play "The Parisian Woman," serving as one of the key figures around whom the political and personal drama unfolds.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e5b04c8190addaa49cb9f6ad06 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0969cd36b081909e24ab92c0b2ab0a completed May 17, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_6a096b373290819082f45e68772a81e4 completed May 17, 2026, 7:16 a.m.
Created at: April 16, 2026, 2:55 p.m.