Triple
T6726879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Combin |
E153538
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Michel Clément
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
|
E688121
|
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: Michel Clément | Statement: [Grand Combin, firstAscentBy, Michel Clément]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Clément Context triple: [Grand Combin, firstAscentBy, Michel Clément]
-
A.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
D.
Didier Gailhaguet
Didier Gailhaguet is a French figure skating coach and former president of the French Ice Sports Federation, known for his influential and often controversial role in international figure skating.
-
E.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
- 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: Michel Clément Triple: [Grand Combin, firstAscentBy, Michel Clément]
Generated description
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Clément Target entity description: Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
-
A.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
D.
Didier Gailhaguet
Didier Gailhaguet is a French figure skating coach and former president of the French Ice Sports Federation, known for his influential and often controversial role in international figure skating.
-
E.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d152a4908190a041f2049240e7ca |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d66fdb1c81909ca125e5918b0997 |
completed | March 29, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69c8d72d58988190be00b2bc8e42c2fb |
completed | March 29, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8d7651f948190872191f61983d695 |
completed | March 29, 2026, 7:40 a.m. |
Created at: March 27, 2026, 2:08 p.m.