Triple

T3672853
Position Surface form Disambiguated ID Type / Status
Subject Stripes E77918 entity
Predicate editedBy 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: [Stripes, editedBy, Michael Luciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Luciano
Context triple: [Stripes, editedBy, 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. 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.
  • C. Marc Trasolini
    Marc Trasolini is a Canadian professional basketball player and standout former forward for Santa Clara University who went on to play internationally, particularly in Japan’s B.League.
  • D. Michael Fratantuno
    Michael Fratantuno is a songwriter and producer best known for co-writing the Black Eyed Peas’ hit single "Where Is the Love?".
  • E. Dominic Fumusa
    Dominic Fumusa is an American actor known for his work in film, television, and theater, including prominent roles in projects like the series "Nurse Jackie" and various feature films.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fafdfe108190a808364578d5edd1 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:25 p.m.