Triple

T4502262
Position Surface form Disambiguated ID Type / Status
Subject Daniel Craig E101248 entity
Predicate birthName P65 FINISHED
Object Daniel Wroughton Craig E101248 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: Daniel Wroughton Craig | Statement: [Daniel Craig, birthName, Daniel Wroughton Craig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Wroughton Craig
Context triple: [Daniel Craig, birthName, Daniel Wroughton Craig]
  • A. Daniel Craig chosen
    Daniel Craig is a British actor best known for his gritty, modern portrayal of James Bond in the long-running spy film franchise.
  • B. Clive Owen
    Clive Owen is an English actor known for his intense, brooding screen presence in films such as "Closer," "Children of Men," and "Inside Man."
  • C. David Craig
    David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
  • D. Jude Law
    Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
  • E. Jonny Lee Miller
    Jonny Lee Miller is a British actor best known for his roles in films like "Trainspotting" and the TV series "Elementary," in which he played a modern-day Sherlock Holmes.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fb2bec8190b74b6a49d9475514 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f71de7081908520ebb81d184e0c completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1 p.m.