Triple

T6791099
Position Surface form Disambiguated ID Type / Status
Subject The Lobster E155933 entity
Predicate producer P490 FINISHED
Object Lee Magiday E586623 NE FINISHED

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: Lee Magiday | Statement: [The Lobster, producer, Lee Magiday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Magiday
Context triple: [The Lobster, producer, Lee Magiday]
  • A. Lee Magiday chosen
    Lee Magiday is a film producer best known for her work on acclaimed independent and arthouse films, including the Oscar-winning period drama "The Favourite."
  • B. John Solie
    John Solie is an American illustrator and painter best known for his prolific work creating movie poster art and commercial illustrations.
  • C. Leland McKenzie
    Leland McKenzie is a senior partner and authoritative yet principled lawyer at the fictional Los Angeles law firm in the television series "L.A. Law."
  • D. Harlen Maguire
    Harlen Maguire is a sadistic crime-scene photographer and hitman portrayed by Jude Law in the 2002 crime drama film "Road to Perdition."
  • E. Arvin Brown
    Arvin Brown is an American theatre and television director best known for his long tenure leading and shaping the artistic vision of New Haven’s Long Wharf Theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.