Triple
T11695185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Paulin-Mohring |
E277974
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Yves Bertot
Yves Bertot is a French computer scientist known for his work on formal methods and the Coq proof assistant.
|
E941109
|
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: Yves Bertot | Statement: [Christine Paulin-Mohring, notableStudent, Yves Bertot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yves Bertot Context triple: [Christine Paulin-Mohring, notableStudent, Yves Bertot]
-
A.
Gérard Berry
Gérard Berry is a prominent French computer scientist known for his pioneering work in programming languages, formal methods, and synchronous programming.
-
B.
Nicolas Vanier
Nicolas Vanier is a French adventurer, filmmaker, and writer known for his expeditions in cold regions and his nature-focused films and books.
-
C.
Pierre Sermanet
Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
-
D.
Yves Gluant
Yves Gluant is a fictional French soccer coach and murder victim in the comedy film "The Pink Panther" (2006).
-
E.
Bertrand Serlet
Bertrand Serlet is a French software engineer best known for his leadership role in developing macOS at Apple after previously working on NeXTSTEP with Steve Jobs.
- 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: Yves Bertot Triple: [Christine Paulin-Mohring, notableStudent, Yves Bertot]
Generated description
Yves Bertot is a French computer scientist known for his work on formal methods and the Coq proof assistant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yves Bertot Target entity description: Yves Bertot is a French computer scientist known for his work on formal methods and the Coq proof assistant.
-
A.
Gérard Berry
Gérard Berry is a prominent French computer scientist known for his pioneering work in programming languages, formal methods, and synchronous programming.
-
B.
Nicolas Vanier
Nicolas Vanier is a French adventurer, filmmaker, and writer known for his expeditions in cold regions and his nature-focused films and books.
-
C.
Pierre Sermanet
Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
-
D.
Yves Gluant
Yves Gluant is a fictional French soccer coach and murder victim in the comedy film "The Pink Panther" (2006).
-
E.
Bertrand Serlet
Bertrand Serlet is a French software engineer best known for his leadership role in developing macOS at Apple after previously working on NeXTSTEP with Steve Jobs.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.