Triple

T8810639
Position Surface form Disambiguated ID Type / Status
Subject Ulzana's Raid E209650 entity
Predicate editor P1954 FINISHED
Object Michael Luciano E272588 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 Luciano | Statement: [Ulzana's Raid, editor, Michael Luciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Luciano
Context triple: [Ulzana's Raid, editor, Michael Luciano]
  • A. Michael Luciano chosen
    Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
  • B. Marc Iacona
    Marc Iacona is an American arts executive and co-founder of the Rochester International Jazz Festival, known for his role in developing it into a major jazz event.
  • C. Michael De Luca
    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.
  • D. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • E. Daniel Mongiardo
    Daniel Mongiardo is an American physician and Democratic politician from Kentucky who served as the state's lieutenant governor.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fed18f8819087b0282bf8c4208c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc923ee708190a669749ad0752204 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:45 p.m.