Triple

T19574222
Position Surface form Disambiguated ID Type / Status
Subject Jim Fassel E489808 entity
Predicate familyName P18 FINISHED
Object Fassel NE NERFINISHED

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: Fassel | Statement: [Jim Fassel, familyName, Fassel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fassel
Context triple: [Jim Fassel, familyName, Fassel]
  • A. Fassel chosen
    Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
  • B. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • C. Forlane
    Forlane is a graceful, dance-inspired movement from Maurice Ravel’s suite *Le Tombeau de Couperin*, known for its lilting rhythm and neoclassical elegance.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402333dc8190bdffb1da68e2c76b completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.