Triple

T15418078
Position Surface form Disambiguated ID Type / Status
Subject Young, Wild & Free E369301 entity
Predicate songwriter P1141 FINISHED
Object Kevin Crowe E369301 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: Kevin Crowe | Statement: [Young, Wild & Free, songwriter, Kevin Crowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Crowe
Context triple: [Young, Wild & Free, songwriter, Kevin Crowe]
  • A. Kevin Crowe chosen
    Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
  • B. Kevin Turen
    Kevin Turen is an American film and television producer known for working on acclaimed independent projects and prestige series.
  • C. David Thomson
    David Thomson is a Canadian media magnate and billionaire who serves as the chairman of Thomson Reuters and is one of the wealthiest individuals in Canada.
  • D. Gene Siskel
    Gene Siskel was a prominent American film critic best known for his influential movie review television programs and long-running partnership with fellow critic Roger Ebert.
  • E. David Thomson (film critic)
    David Thomson is a British-American film critic and historian best known for his influential reference work "The New Biographical Dictionary of Film" and his incisive, essayistic writing on cinema.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.