Triple

T8441639
Position Surface form Disambiguated ID Type / Status
Subject 89th Academy Awards E199362 entity
Predicate producer P490 FINISHED
Object Michael De Luca E165233 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 De Luca | Statement: [89th Academy Awards, producer, Michael De Luca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael De Luca
Context triple: [89th Academy Awards, producer, Michael De Luca]
  • A. Michael De Luca chosen
    Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
  • B. Michael V. Gazzo
    Michael V. Gazzo was an American actor and playwright best known for his Oscar-nominated performance as Frank Pentangeli in *The Godfather Part II* and for writing the play *A Hatful of Rain*.
  • C. Robert Palumbo
    Robert Palumbo is a television producer best known for serving as an executive producer on the science fiction series "Mars."
  • D. Robert Mammone
    Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
  • E. Greg D'Auria
    Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42328b0c8190869e68226e0b467f completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:08 p.m.