Triple

T13601278
Position Surface form Disambiguated ID Type / Status
Subject The Lady Killer E324946 entity
Predicate producer P490 FINISHED
Object Fraser T. Smith E848359 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: Fraser T. Smith | Statement: [The Lady Killer, producer, Fraser T. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fraser T. Smith
Context triple: [The Lady Killer, producer, Fraser T. Smith]
  • A. Fraser T. Smith chosen
    Fraser T. Smith is a British record producer, songwriter, and musician known for his work with prominent artists across hip hop, grime, and pop, including collaborations with Adele, Stormzy, and Dave.
  • B. Richard D. Smith
    Richard D. Smith is a theatrical producer known for his work on the hit Broadway musical "The Producers."
  • C. Richard W. Smith
    Richard W. Smith is a member of the Smith family best known as a son of FedEx founder Frederick W. Smith.
  • D. Douglas J. Foskett
    Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
  • E. Rainer M. Blair
    Rainer M. Blair is an American business executive best known for serving as president and chief executive officer of the global science and technology company Danaher Corporation.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004568c93c81908450887f72de8466 completed May 10, 2026, 8:44 a.m.
Created at: April 9, 2026, 9:49 p.m.