Triple
T3033525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Platini |
E82952
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
AS Nancy
AS Nancy is a French professional football club based in Nancy, known for developing legendary playmaker Michel Platini early in his career.
|
E321456
|
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: AS Nancy | Statement: [Michel Platini, playedFor, AS Nancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS Nancy Context triple: [Michel Platini, playedFor, AS Nancy]
-
A.
AJ Auxerre
AJ Auxerre is a French professional football club based in Auxerre, known for its strong youth academy and past success in Ligue 1 and European competitions.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
-
D.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
E.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
- 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: AS Nancy Triple: [Michel Platini, playedFor, AS Nancy]
Generated description
AS Nancy is a French professional football club based in Nancy, known for developing legendary playmaker Michel Platini early in his career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AS Nancy Target entity description: AS Nancy is a French professional football club based in Nancy, known for developing legendary playmaker Michel Platini early in his career.
-
A.
AJ Auxerre
AJ Auxerre is a French professional football club based in Auxerre, known for its strong youth academy and past success in Ligue 1 and European competitions.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
-
D.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
E.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9af13ce48190bda4f5ca0ffe6285 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dec30d8081909d6ee691e5e51434 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1e297ddc0819092942cdf8a4f9440 |
completed | March 11, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e2f519108190883ee481b763b67f |
completed | March 11, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:01 p.m.