Triple

T19562649
Position Surface form Disambiguated ID Type / Status
Subject Kevin McCollum E489492 entity
Predicate notableWork P4 FINISHED
Object Six 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: Six | Statement: [Kevin McCollum, notableWork, Six]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Six
Context triple: [Kevin McCollum, notableWork, Six]
  • A. Six chosen
    Six is a modern British pop musical that reimagines the six wives of Henry VIII as a girl group performing a high-energy concert about their lives and legacies.
  • B. Seven
    Seven is a 1995 neo-noir psychological crime thriller film directed by David Fincher that follows two detectives hunting a serial killer who uses the seven deadly sins as his modus operandi.
  • C. Seven
    Seven is the nickname of Seven of Nine, a former Borg drone and key Star Trek: Voyager character known for her struggle to regain and redefine her humanity.
  • D. Seven
    Seven is a musical artist known for contributing featured vocals to the track "Murphy's Law."
  • E. Seven
    Seven is a character associated with Nine Ball, likely appearing as a related figure in the same fictional or narrative context.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f74fdb08190852461b5d5c954ac completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.