Triple

T5055661
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye E113895 entity
Predicate featuresCharacter P626 FINISHED
Object Q E84547 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: Q | Statement: [GoldenEye, featuresCharacter, Q]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Q
Context triple: [GoldenEye, featuresCharacter, Q]
  • A. Q
    The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
  • B. Q chosen
    Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
  • C. Q
    Q is a powerful, omnipotent trickster from the Q Continuum who frequently tests and torments the crew of the USS Enterprise in Star Trek: The Next Generation.
  • D. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • E. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744e45588190beaa2f96bb2f41e2 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea489eb4c8190ad3a5480b909ef70 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.