Triple

T1654255
Position Surface form Disambiguated ID Type / Status
Subject Xavi Hernández E35761 entity
Predicate givenName P17 FINISHED
Object 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.
 E186800 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: Xavier | Statement: [Xavi Hernández, givenName, Xavier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xavier
Context triple: [Xavi Hernández, givenName, Xavier]
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Cedric
    Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
  • C. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • D. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • E. 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.
  • 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: Xavier
Triple: [Xavi Hernández, givenName, Xavier]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xavier
Target entity description: 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.
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Cedric
    Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
  • C. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • D. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • E. 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.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8a080c8190b6913d6830d74526 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ac133881909222b25029096407 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad613d218081909e3ed7e74dcf82fc completed March 8, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_69ad61b178148190a088495eb599c9cb completed March 8, 2026, 11:46 a.m.
Created at: March 4, 2026, 7:29 p.m.