Triple

T20744173
Position Surface form Disambiguated ID Type / Status
Subject Peter’s Friends E510525 entity
Predicate mainCharacter P1183 FINISHED
Object Peter Morton NE NERFINISHED

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: Peter Morton | Statement: [Peter’s Friends, mainCharacter, Peter Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Morton
Context triple: [Peter’s Friends, mainCharacter, Peter Morton]
  • A. Peter Morton chosen
    Peter Morton is the central character in the 1992 British comedy-drama film "Peter’s Friends," around whom a reunion of old university friends revolves.
  • B. Peter Morton
    Peter Morton is an American entrepreneur best known as the co-founder of the global Hard Rock Cafe restaurant and music-themed hospitality chain.
  • C. John Talman
    John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
  • D. Robert Dyke
    Robert Dyke is a film director best known for helming the 1989 science fiction horror movie "Moontrap."
  • E. Leo Chapman
    Leo Chapman was the first husband of prominent American suffragist and peace activist Carrie Chapman Catt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 12:33 p.m.