Triple
T22633240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathalie Péchalat |
E558609
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Péchalat
Péchalat is the surname of Nathalie Péchalat, a prominent French ice dancer and sports official.
|
E1546393
|
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: Péchalat | Statement: [Nathalie Péchalat, familyName, Péchalat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péchalat Context triple: [Nathalie Péchalat, familyName, Péchalat]
-
A.
Laurent Chalet
Laurent Chalet is a French cinematographer best known for his acclaimed work on the nature documentary film "March of the Penguins."
-
B.
Nelly Quettier
Nelly Quettier is a French film editor known for her work on acclaimed art-house and auteur cinema.
-
C.
Julie Dufour
Julie Dufour is a Canadian municipal politician who serves as the mayor of Saguenay, Quebec.
-
D.
Camille Chevillard
Camille Chevillard was a French conductor and composer active in the late 19th and early 20th centuries, noted for his advocacy of contemporary French music.
-
E.
Christophe Breuil
Christophe Breuil is a French mathematician renowned for his fundamental contributions to number theory and arithmetic geometry, particularly in the proof of the modularity theorem that led to the resolution of Fermat’s Last Theorem.
- 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: Péchalat Triple: [Nathalie Péchalat, familyName, Péchalat]
Generated description
Péchalat is the surname of Nathalie Péchalat, a prominent French ice dancer and sports official.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Péchalat Target entity description: Péchalat is the surname of Nathalie Péchalat, a prominent French ice dancer and sports official.
-
A.
Laurent Chalet
Laurent Chalet is a French cinematographer best known for his acclaimed work on the nature documentary film "March of the Penguins."
-
B.
Nelly Quettier
Nelly Quettier is a French film editor known for her work on acclaimed art-house and auteur cinema.
-
C.
Julie Dufour
Julie Dufour is a Canadian municipal politician who serves as the mayor of Saguenay, Quebec.
-
D.
Camille Chevillard
Camille Chevillard was a French conductor and composer active in the late 19th and early 20th centuries, noted for his advocacy of contemporary French music.
-
E.
Christophe Breuil
Christophe Breuil is a French mathematician renowned for his fundamental contributions to number theory and arithmetic geometry, particularly in the proof of the modularity theorem that led to the resolution of Fermat’s Last Theorem.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4e0d458c8190bd53c9220952beb5 |
completed | May 18, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_6a0b4f13b2fc8190807c8dda3733cf53 |
completed | May 18, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b4fffea548190b0c3d9cce1c89aa9 |
completed | May 18, 2026, 5:44 p.m. |
Created at: April 17, 2026, 3:03 p.m.