Triple

T14594567
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Fell to Earth E342524 entity
Predicate producer P490 FINISHED
Object Michael Deeley E226087 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: Michael Deeley | Statement: [The Man Who Fell to Earth, producer, Michael Deeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Deeley
Context triple: [The Man Who Fell to Earth, producer, Michael Deeley]
  • A. Michael Deeley chosen
    Michael Deeley is a British film producer best known for his work on acclaimed films such as "The Deer Hunter" and "Blade Runner."
  • B. Justin Deeley
    Justin Deeley is an American actor and model best known for his television roles, including a prominent part on the series "Drop Dead Diva."
  • C. Nick Daley
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • D. Michael Daley
    Michael Daley is an Australian Labor Party politician who has served in senior roles in New South Wales state politics, including as a cabinet minister and former Opposition Leader.
  • E. Michele Conroy
    Michele Conroy is an editor known for her work on the publication "The Rite."
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.