Triple

T9723529
Position Surface form Disambiguated ID Type / Status
Subject Bob Davies E235542 entity
Predicate name P16 FINISHED
Object Bob Davies E235542 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: Bob Davies | Statement: [Bob Davies, name, Bob Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Davies
Context triple: [Bob Davies, name, Bob Davies]
  • A. Bob Davies chosen
    Bob Davies was an American Hall of Fame point guard renowned for leading the Rochester Royals to early professional basketball success in the 1940s and 1950s.
  • B. Jack Davies
    Jack Davies was a British screenwriter and script editor known for his work on numerous mid-20th-century films and television productions.
  • C. Roger Davis
    Roger Davis is a central character in the musical "Rent," a struggling filmmaker and former rock musician grappling with love, loss, and life in New York City's East Village during the AIDS crisis.
  • D. Robert Davis
    Robert Davis is an American real estate developer and urban planner best known for creating Seaside, Florida, a pioneering community in the New Urbanism movement.
  • E. Bill Davis
    Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d59e0c8c8190888b56d75f9ba2c2 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:20 p.m.