Triple

T5142575
Position Surface form Disambiguated ID Type / Status
Subject Michael De Luca Productions E115992 entity
Predicate namedAfter P63 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: [Michael De Luca Productions, namedAfter, Michael De Luca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael De Luca
Context triple: [Michael De Luca Productions, namedAfter, 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfaf2bc1348190a92833a4c4e0e4cd completed March 22, 2026, 8:58 a.m.
Created at: March 20, 2026, 1:43 p.m.