Triple

T12686404
Position Surface form Disambiguated ID Type / Status
Subject Brad Falchuk E303079 entity
Predicate employer P7 FINISHED
Object FX E69019 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: FX | Statement: [Brad Falchuk, employer, FX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX
Context triple: [Brad Falchuk, employer, FX]
  • A. FX chosen
    FX is an American cable television network known for airing edgy, critically acclaimed original series and dramas.
  • B. FX
    FX is the identifying squadron code historically used by No. 92 Squadron of the Royal Air Force.
  • C. FIN
    FIN is the commonly used abbreviation for the Department of Finance Canada, the federal government department responsible for developing economic, fiscal, and tax policy.
  • D. FIN
    FIN is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Finland in international standards and data systems.
  • E. FIN
    FIN is the three-letter station code used by London Underground to identify Finchley Road station on the Metropolitan and Jubilee lines.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.