Triple

T21613300
Position Surface form Disambiguated ID Type / Status
Subject Roche E533363 entity
Predicate hasVariant P455 FINISHED
Object Laroche
Laroche is a French surname, often a variant of "Roche," borne by various notable individuals in fields such as politics, sports, and the arts.
 E1579267 NE FINISHED

How this triple was built (4 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: Laroche | Statement: [Roche, hasVariant, Laroche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laroche
Context triple: [Roche, hasVariant, Laroche]
  • A. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • B. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • C. Boissonnas
    Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
  • D. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • E. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laroche
Triple: [Roche, hasVariant, Laroche]
Generated description
Laroche is a French surname, often a variant of "Roche," borne by various notable individuals in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laroche
Target entity description: Laroche is a French surname, often a variant of "Roche," borne by various notable individuals in fields such as politics, sports, and the arts.
  • A. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • B. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • C. Boissonnas
    Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
  • D. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • E. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c5c6c848190b9ebf0abf4a8435d completed May 19, 2026, 11:41 a.m.
NEDg Description generation batch_6a0c4d2cb4848190b7a10e1184ca0064 completed May 19, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4daeaf5c81909eca82f6d9103b9a completed May 19, 2026, 11:46 a.m.
Created at: April 16, 2026, 6:33 p.m.