Triple

T8953025
Position Surface form Disambiguated ID Type / Status
Subject Charles Texier E213402 entity
Predicate familyName P18 FINISHED
Object Texier
Texier is a French surname borne by various notable figures, including archaeologist and historian Charles Texier.
 E767928 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: Texier | Statement: [Charles Texier, familyName, Texier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Texier
Context triple: [Charles Texier, familyName, Texier]
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • C. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • D. Taconnaz
    Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
  • E. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • 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: Texier
Triple: [Charles Texier, familyName, Texier]
Generated description
Texier is a French surname borne by various notable figures, including archaeologist and historian Charles Texier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Texier
Target entity description: Texier is a French surname borne by various notable figures, including archaeologist and historian Charles Texier.
  • A. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • B. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • C. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • D. Taconnaz
    Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
  • E. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc210302c8190b1c062fcbcfeb0f6 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc34eba0881908155770166639481 completed April 3, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfc41fca3081908d8c2515c98283de completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.