Triple

T16197632
Position Surface form Disambiguated ID Type / Status
Subject François Mouret E393107 entity
Predicate familyName P18 FINISHED
Object Mouret
Mouret is a French surname most notably associated with individuals such as François Mouret, a 19th-century chess master.
E1198766 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: Mouret | Statement: [François Mouret, familyName, Mouret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouret
Context triple: [François Mouret, familyName, Mouret]
  • A. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • B. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • C. Rigault
    Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
  • D. Fantin-Latour
    Fantin-Latour was a French painter and lithographer renowned for his delicate flower still lifes and intimate group portraits of 19th-century artists.
  • E. Foucher
    Foucher is a French surname most notably borne by Adèle Foucher, the wife of writer Victor Hugo.
  • 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: Mouret
Triple: [François Mouret, familyName, Mouret]
Generated description
Mouret is a French surname most notably associated with individuals such as François Mouret, a 19th-century chess master.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mouret
Target entity description: Mouret is a French surname most notably associated with individuals such as François Mouret, a 19th-century chess master.
  • A. Meunier
    Meunier is a black grape variety primarily used in Champagne production, valued for adding fruitiness and early maturity to sparkling wine blends.
  • B. Meunier
    Meunier is a common French occupational surname, historically referring to a miller.
  • C. Rigault
    Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
  • D. Fantin-Latour
    Fantin-Latour was a French painter and lithographer renowned for his delicate flower still lifes and intimate group portraits of 19th-century artists.
  • E. Foucher
    Foucher is a French surname most notably borne by Adèle Foucher, the wife of writer Victor Hugo.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:02 a.m.