Triple

T23006300
Position Surface form Disambiguated ID Type / Status
Subject Udo Kier E572778 entity
Predicate collaboratedWith P435 FINISHED
Object Michael Bay NE NERFINISHED

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 Bay | Statement: [Udo Kier, collaboratedWith, Michael Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bay
Context triple: [Udo Kier, collaboratedWith, Michael Bay]
  • A. Michael Bay chosen
    Michael Bay is an American film director and producer known for his high-octane action movies featuring explosive visual effects and fast-paced storytelling, including the Transformers franchise and Armageddon.
  • B. David Emmerichs
    David Emmerichs is a cinematographer known for his work on feature films such as the horror movie "Ouija."
  • C. Michael Bay Films
    Michael Bay Films is a production company associated with filmmaker Michael Bay, known for producing high-concept, commercially driven genre movies.
  • D. Gore Verbinski
    Gore Verbinski is an American film director, screenwriter, and producer best known for directing the first three Pirates of the Caribbean films and the Academy Award-winning animated feature Rango.
  • E. James Cameron
    James Cameron is a Canadian filmmaker and deep-sea explorer renowned for directing blockbuster films such as "Titanic" and "Avatar."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.