Triple

T9759567
Position Surface form Disambiguated ID Type / Status
Subject Chocolat E236634 entity
Predicate mainCharacter P1183 FINISHED
Object Roux E680203 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: Roux | Statement: [Chocolat, mainCharacter, Roux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roux
Context triple: [Chocolat, mainCharacter, Roux]
  • A. Roux chosen
    Roux is a French surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • B. Roux
    Roux is a residential neighborhood located within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. Parmentier
    Parmentier is a Paris Métro station in the 11th arrondissement, named after the French agronomist Antoine-Augustin Parmentier and served by Line 3.
  • D. Boudin
    Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
  • E. Bondoufle
    Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcdbdbcc8190b2c454729a50f7fb completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.