Triple

T9919919
Position Surface form Disambiguated ID Type / Status
Subject Graeme Revell E185967 entity
Predicate familyName P18 FINISHED
Object Revell E266911 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: Revell | Statement: [Graeme Revell, familyName, Revell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revell
Context triple: [Graeme Revell, familyName, Revell]
  • A. Revell chosen
    Revell is a surname most notably associated with Finnish architect Viljo Revell, known for his modernist designs such as Toronto City Hall.
  • B. Revell Ward Stand
    Revell Ward Stand is a spectator stand at John Smith's Stadium in Huddersfield, England, used for hosting fans during football and rugby league matches.
  • C. Tamiya
    Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
  • D. Vultee Aircraft
    Vultee Aircraft was an American aircraft manufacturer active before and during World War II, known for producing military trainers and bombers before eventually becoming part of Convair through industry consolidation.
  • E. Folland Aircraft
    Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5699bc48190961e036d1131fef0 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20df77f208190b550b888bf7b55ea completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.