Triple

T32092669
Position Surface form Disambiguated ID Type / Status
Subject Argentina defeated France in opening match E819636 entity
Predicate teamCaptainOfFrance P82975 FINISHED
Object Raphaël Ibañez
Raphaël Ibañez is a former French rugby union hooker who captained the national team and later became a coach and television pundit.
 E1991347 NE FINISHED

How this triple was built (3 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: Raphaël Ibañez | Statement: [Argentina defeated France in opening match, teamCaptainOfFrance, Raphaël Ibañez]
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: Raphaël Ibañez
Triple: [Argentina defeated France in opening match, teamCaptainOfFrance, Raphaël Ibañez]
Generated description
Raphaël Ibañez is a former French rugby union hooker who captained the national team and later became a coach and television pundit.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: teamCaptainOfFrance
Context triple: [Argentina defeated France in opening match, teamCaptainOfFrance, Raphaël Ibañez]
  • A. governingBodyOfFranceTeam
    Indicates that the subject is the organization that serves as the official governing body for the France team.
  • B. FranceCaptain chosen
    Indicates that an entity serves as the captain (leader) of a French national or representative team in a given context.
  • C. notableLeaderFrance
    Indicates that the subject is recognized as a notable leader associated with France.
  • D. teamCaptain
    Indicates that one entity serves as the captain or designated leader of a particular team.
  • E. strengthFrance
    Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
  • F. None of above.

Provenance (6 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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1bb5f248190834161b5a6ba1ece completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddf54bdc8190babcc48830e5b0e5 completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ee20788248190bd11cc30a0a2da55 completed June 14, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2ee30de97c819085f4b02af71649fa completed June 14, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69f6bd25bed08190befcabd3a41ffadf completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 12:25 a.m.