Triple

T4625958
Position Surface form Disambiguated ID Type / Status
Subject Donnie Brasco E101097 entity
Predicate director P255 FINISHED
Object Mike Newell E114369 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: Mike Newell | Statement: [Donnie Brasco, director, Mike Newell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Newell
Context triple: [Donnie Brasco, director, Mike Newell]
  • A. Mike Newell chosen
    Mike Newell is a British film director known for works such as "Four Weddings and a Funeral," "Donnie Brasco," and "Harry Potter and the Goblet of Fire."
  • B. Thomas Eyre
    Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
  • C. Tony Kaye
    Tony Kaye is an English keyboardist best known as a founding member of the progressive rock band Yes.
  • D. Tony Kaye
    Tony Kaye is a British film director and cinematographer best known for directing the critically acclaimed drama "American History X."
  • E. Stephen Daldry
    Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a08ef488190af46418229309b0f completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaab30508190881828adab92ba22 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:13 p.m.