Triple

T9015640
Position Surface form Disambiguated ID Type / Status
Subject The Cutting Edge E215586 entity
Predicate producer P490 FINISHED
Object Ted Field E155502 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: Ted Field | Statement: [The Cutting Edge, producer, Ted Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Field
Context triple: [The Cutting Edge, producer, Ted Field]
  • A. Ted Field chosen
    Ted Field is an American media mogul and film producer best known for co-founding the influential record label Interscope Records.
  • B. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • C. David S. Field
    David S. Field is a musician best known as a member of the punk rock band The Longshot, a side project of Green Day’s Billie Joe Armstrong.
  • D. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • E. Roger K. Furse
    Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.