Triple

T23477595
Position Surface form Disambiguated ID Type / Status
Subject Numb3rs E570307 entity
Predicate stars P1956 FINISHED
Object Peter MacNicol 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 MacNicol | Statement: [Numb3rs, stars, Peter MacNicol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter MacNicol
Context triple: [Numb3rs, stars, Peter MacNicol]
  • A. Peter MacNicol chosen
    Peter MacNicol is an American actor known for his versatile film and television roles, including prominent performances in projects like "Ally McBeal," "Ghostbusters II," and "Numbers."
  • B. Stephen MacLean
    Stephen MacLean was an Australian screenwriter and filmmaker best known for his work on music-infused films and television, including the cult musical comedy "Starstruck" (1982).
  • C. Angus McKie
    Angus McKie is a British illustrator and colorist known for his detailed science fiction artwork and influential contributions to comic book coloring.
  • D. Neil Macdonald
    Neil Macdonald is a Canadian journalist and former CBC News correspondent known for his in-depth political reporting and international coverage.
  • E. Iain McCrory
    Iain McCrory is the father of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74dbea8819085ca84391039e7f7 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.