Triple

T21094960
Position Surface form Disambiguated ID Type / Status
Subject Théophile Vabre E519739 entity
Predicate familyName P18 FINISHED
Object Vabre
Vabre is a French surname most notably associated with individuals such as Théophile Vabre.
E1486967 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: Vabre | Statement: [Théophile Vabre, familyName, Vabre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vabre
Context triple: [Théophile Vabre, familyName, Vabre]
  • A. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • B. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. Villandraut
    Villandraut is a small commune in southwestern France best known as the birthplace of Pope Clement V.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • 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: Vabre
Triple: [Théophile Vabre, familyName, Vabre]
Generated description
Vabre is a French surname most notably associated with individuals such as Théophile Vabre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vabre
Target entity description: Vabre is a French surname most notably associated with individuals such as Théophile Vabre.
  • A. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • B. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. Villandraut
    Villandraut is a small commune in southwestern France best known as the birthplace of Pope Clement V.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfda4060819094b0c8f48d2c5758 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d3be0c448190836a39d24f63b684 completed May 17, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09d452770481909af0328cd2971e36 completed May 17, 2026, 2:44 p.m.
Created at: April 16, 2026, 2:52 p.m.