Triple

T20561808
Position Surface form Disambiguated ID Type / Status
Subject Ken Kercheval E504860 entity
Predicate name P16 FINISHED
Object Ken Kercheval 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: Ken Kercheval | Statement: [Ken Kercheval, name, Ken Kercheval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Kercheval
Context triple: [Ken Kercheval, name, Ken Kercheval]
  • A. Ken Kercheval chosen
    Ken Kercheval was an American actor best known for his long-running role as Cliff Barnes on the television series "Dallas."
  • B. Jeremy Kemp
    Jeremy Kemp was a British character actor known for his roles in films such as "The Blue Max," "A Bridge Too Far," and numerous television dramas.
  • C. Langdon Gilkey
    Langdon Gilkey was an American theologian and author known for his reflections on faith, ethics, and human nature, particularly shaped by his experiences as a civilian internee in China during World War II.
  • D. Christopher Keene
    Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
  • E. Michael Wheeler
    Michael Wheeler is the son of April Wheeler, a central character in Richard Yates’s novel "Revolutionary Road."
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79ec10481909740eb6a08ae2658 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.