Triple

T6463600
Position Surface form Disambiguated ID Type / Status
Subject Romeo Must Die E142178 entity
Predicate editedBy P1954 FINISHED
Object Michael Tronick E349918 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 Tronick | Statement: [Romeo Must Die, editedBy, Michael Tronick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Tronick
Context triple: [Romeo Must Die, editedBy, Michael Tronick]
  • A. Michael Tronick chosen
    Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
  • B. Michael Tomasello
    Michael Tomasello is an American developmental and comparative psychologist known for his influential research on child language acquisition, social cognition, and the evolution of human cooperation.
  • C. Jan D. Achenbach
    Jan D. Achenbach was a prominent engineer and applied mechanician known for his pioneering contributions to wave propagation in solids, fracture mechanics, and nondestructive evaluation.
  • D. James S. Langer
    James S. Langer is an American theoretical physicist known for his work on phase transitions, pattern formation, and the dynamics of nonequilibrium systems.
  • E. Daniel Stern
    Daniel Stern is an American actor and director best known for his comedic roles in films like "City Slickers" and the "Home Alone" series, as well as for narrating the television show "The Wonder Years."
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be78ae48190b38390ed245694fb completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:49 p.m.