Triple

T12412214
Position Surface form Disambiguated ID Type / Status
Subject Alain Giresse E296544 entity
Predicate familyName P18 FINISHED
Object Giresse
Giresse is a French surname most notably associated with Alain Giresse, a celebrated former French international footballer and coach.
 E980839 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: Giresse | Statement: [Alain Giresse, familyName, Giresse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giresse
Context triple: [Alain Giresse, familyName, Giresse]
  • A. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • B. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • C. Gardo
    Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
  • D. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • E. Belouizdad
    Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
  • 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: Giresse
Triple: [Alain Giresse, familyName, Giresse]
Generated description
Giresse is a French surname most notably associated with Alain Giresse, a celebrated former French international footballer and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giresse
Target entity description: Giresse is a French surname most notably associated with Alain Giresse, a celebrated former French international footballer and coach.
  • A. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • B. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • C. Gardo
    Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
  • D. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • E. Belouizdad
    Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.