Triple

T14366731
Position Surface form Disambiguated ID Type / Status
Subject Quentyn Martell E356253 entity
Predicate creator P184 FINISHED
Object George R. R. Martin E68797 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: George R. R. Martin | Statement: [Quentyn Martell, creator, George R. R. Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George R. R. Martin
Context triple: [Quentyn Martell, creator, George R. R. Martin]
  • A. George R. R. Martin chosen
    George R. R. Martin is an American fantasy author best known for his epic series "A Song of Ice and Fire," which was adapted into the television phenomenon "Game of Thrones."
  • B. A. R. Martin
    A. R. Martin is an editor best known for overseeing the influential British Interplanetary Society study volume on the interstellar spacecraft concept Project Daedalus.
  • C. Robert Jordan
    Robert Jordan is a political figure who ran as a candidate in San Francisco’s 2019 mayoral election.
  • D. Robert Jordan
    Robert Jordan is the American dynamiter and Spanish Civil War volunteer who serves as the idealistic yet introspective protagonist of Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • E. Robert Jordan
    Robert Jordan was an American fantasy author best known for creating the epic series "The Wheel of Time."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.