Triple

T1842663
Position Surface form Disambiguated ID Type / Status
Subject Theo E41209 entity
Predicate hasVariant P455 FINISHED
Object Théo
Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
 E205991 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: Théo | Statement: [Theo, hasVariant, Théo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Théo
Context triple: [Theo, hasVariant, Théo]
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • D. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • E. Xavier
    Xavier is the given name of Xavi Hernández, the renowned Spanish former footballer and current manager best known for his legendary midfield role at FC Barcelona and with Spain’s national team.
  • 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: Théo
Triple: [Theo, hasVariant, Théo]
Generated description
Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Théo
Target entity description: Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • D. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • E. Xavier
    Xavier is the given name of Xavi Hernández, the renowned Spanish former footballer and current manager best known for his legendary midfield role at FC Barcelona and with Spain’s national team.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03e7a7481909c5b902034390ef1 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9be1ef481909cd6f6975bf2165d completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf1917c819090eac27de62494ca completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbba64588190aa0ebd2b6f67afa7 completed March 8, 2026, 7:19 p.m.
Created at: March 4, 2026, 7:33 p.m.