Triple

T4501562
Position Surface form Disambiguated ID Type / Status
Subject Ivor Novello E101230 entity
Predicate familyName P18 FINISHED
Object Davies E71122 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: Davies | Statement: [Ivor Novello, familyName, Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davies
Context triple: [Ivor Novello, familyName, Davies]
  • A. Davies chosen
    Davies is a common Welsh-origin surname borne by numerous notable individuals across fields such as literature, politics, sports, and entertainment.
  • 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. Peter Davies
    Peter Davies is a film editor best known for his work on the James Bond movie "A View to a Kill."
  • D. Bob Davies
    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.
  • E. Roger Davies
    Roger Davies is an actor known for his role in the science fiction horror film "The Cloverfield Paradox."
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56f9dca08190b926f40e201a3e97 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f8d498c81908fe1ac5f799f2e1a completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.