Triple

T14567263
Position Surface form Disambiguated ID Type / Status
Subject Funny Games U.S. E341815 entity
Predicate leadCharacter P1668 FINISHED
Object Peter
Peter is one of the two sadistic young men who psychologically and physically torment a family in the home-invasion horror film "Funny Games U.S."
E1106759 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: [Funny Games U.S., leadCharacter, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [Funny Games U.S., leadCharacter, Peter]
  • A. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • B. Peter
    Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
  • C. Peter
    Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
  • D. Peter
    Peter was one of the leaders of the late 12th-century Bulgarian uprising that restored the Bulgarian Empire against Byzantine rule.
  • E. Peter
    Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
  • 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: [Funny Games U.S., leadCharacter, Peter]
Generated description
Peter is one of the two sadistic young men who psychologically and physically torment a family in the home-invasion horror film "Funny Games U.S."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter
Target entity description: Peter is one of the two sadistic young men who psychologically and physically torment a family in the home-invasion horror film "Funny Games U.S."
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Peter
    Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c5b09448190ad084746a6dd23f5 completed May 8, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.