Triple

T17874329
Position Surface form Disambiguated ID Type / Status
Subject Selyse Baratheon E446911 entity
Predicate familyName P18 FINISHED
Object Florent 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: Florent | Statement: [Selyse Baratheon, familyName, Florent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florent
Context triple: [Selyse Baratheon, familyName, Florent]
  • A. Florent chosen
    Florent is the idealistic and wrongfully exiled protagonist of Émile Zola’s novel *Le Ventre de Paris*, whose return to Paris’s central markets exposes the social and political tensions of Second Empire France.
  • B. Avignon
    Avignon is a historic city in southeastern France renowned for its medieval architecture, including the Palais des Papes, and its role as a former seat of the papacy.
  • C. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • D. Troyes
    Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
  • E. Loché
    Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa4959881908774dafb7be99191 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.