Triple

T18505819
Position Surface form Disambiguated ID Type / Status
Subject The Stranglers E452194 entity
Predicate hasPart P35 FINISHED
Object Dave Greenfield 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: Dave Greenfield | Statement: [The Stranglers, hasPart, Dave Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Greenfield
Context triple: [The Stranglers, hasPart, Dave Greenfield]
  • A. Dave Greenfield chosen
    Dave Greenfield was an English keyboardist best known for his distinctive, classically influenced playing in the punk and new wave band The Stranglers.
  • B. John Greenfield
    John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
  • C. Sam Greenfield
    Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
  • D. Jerry Greenfield
    Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
  • E. Daniel Green
    Daniel Green is a music producer known for his work on the track "Paradise."
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53341b6c48190b7da42f5df923e81 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.