Triple

T20618827
Position Surface form Disambiguated ID Type / Status
Subject Strictly Ballroom E506643 entity
Predicate mainCharacter P1183 FINISHED
Object Fran 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: Fran | Statement: [Strictly Ballroom, mainCharacter, Fran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fran
Context triple: [Strictly Ballroom, mainCharacter, Fran]
  • A. Fran chosen
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • B. Franc
    The franc is a former primary currency used in several European and African countries, most notably France and Switzerland, before largely being replaced by the euro in the Eurozone.
  • C. Le François
    Le François is a coastal commune on the eastern side of Martinique in the French Caribbean, known for its sheltered bays, islets, and traditional fishing and agricultural activities.
  • D. Fra
    Fra is a chivalric honorific used within the Knights Hospitaller (Order of Malta) to denote a professed knight or brother.
  • E. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abdf9d7c8190969247a4ae55b781 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:41 a.m.