Triple

T10201509
Position Surface form Disambiguated ID Type / Status
Subject Billy Butcher E238892 entity
Predicate closeAssociate P2830 FINISHED
Object Frenchie E847503 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: Frenchie | Statement: [Billy Butcher, closeAssociate, Frenchie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frenchie
Context triple: [Billy Butcher, closeAssociate, Frenchie]
  • A. Frenchie chosen
    Frenchie is a resourceful and eccentric member of the vigilante group in the TV series "The Boys," known for his combat skills, improvisational tactics, and complex moral compass.
  • B. Frenchy
    Frenchy is the sharp-tongued, seductive saloon singer and gambler famously portrayed by Marlene Dietrich in the classic Western film "Destry Rides Again."
  • C. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • D. Cap-Français
    Cap-Français was the principal port city and administrative center of the French colony of Saint-Domingue, known for its wealth, strategic Caribbean location, and role in the transatlantic slave trade.
  • E. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32afa75ec8190bbaf2e69b4ee24f1 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:14 p.m.