Triple

T20062436
Position Surface form Disambiguated ID Type / Status
Subject Kent Taylor E499513 entity
Predicate name P16 FINISHED
Object Kent Taylor 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: Kent Taylor | Statement: [Kent Taylor, name, Kent Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent Taylor
Context triple: [Kent Taylor, name, Kent Taylor]
  • A. Kent Taylor chosen
    Kent Taylor was an American film and television actor best known for his roles in Westerns and crime dramas during the mid-20th century.
  • B. Ken Taylor
    Ken Taylor was the Canadian ambassador to Iran who played a key role in secretly sheltering and helping American diplomats escape Tehran during the 1979–1980 hostage crisis.
  • C. Brian Taylor
    Brian Taylor is known as the former long-term partner of acclaimed British actor Sir Ian McKellen.
  • D. Brian Taylor
    Brian Taylor is an American filmmaker best known for co-directing the hyper-kinetic action films "Crank" and "Crank: High Voltage."
  • E. Brian Taylor
    Brian Taylor is a former professional basketball guard best known for his standout play in the American Basketball Association (ABA) during the 1970s.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.