Triple

T19363712
Position Surface form Disambiguated ID Type / Status
Subject Gurney E484345 entity
Predicate hasNotableBearer P458 FINISHED
Object James Gurney E90632 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: James Gurney | Statement: [Gurney, hasNotableBearer, James Gurney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Gurney
Context triple: [Gurney, hasNotableBearer, James Gurney]
  • A. Victor Melling
    Victor Melling is a refined, exacting beauty pageant coach and mentor featured in the comedy film "Miss Congeniality."
  • B. Mark Binney
    Mark Binney is a central, morally ambiguous character in the British television serial "The Singing Detective," involved in the noir-style mystery that unfolds within the protagonist’s imagination.
  • C. Michael J. Foreman
    Michael J. Foreman is a retired NASA astronaut and former U.S. Navy captain who flew on multiple Space Shuttle missions to the International Space Station.
  • D. Loren Long chosen
    Loren Long is an American children's book illustrator and author known for his richly detailed, nostalgic artwork in popular picture books and collaborations with prominent writers.
  • E. Frank R. Paul
    Frank R. Paul was a pioneering American illustrator best known for his influential, vividly imaginative science fiction magazine covers in the early 20th century.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a9ac68819082cf9deadf526156 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0724121ba48190b4246ddc8486eac0 completed May 15, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:34 p.m.