Triple

T14513822
Position Surface form Disambiguated ID Type / Status
Subject Baelor E340465 entity
Predicate basedOnWorkBy P2806 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: [Baelor, basedOnWorkBy, George R. R. Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George R. R. Martin
Context triple: [Baelor, basedOnWorkBy, 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.