Triple
T10694816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabien Roussel |
E252107
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Fabien
Fabien is a French politician best known as the national secretary of the French Communist Party and a member of the National Assembly.
|
E880673
|
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: Fabien | Statement: [Fabien Roussel, givenName, Fabien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabien Context triple: [Fabien Roussel, givenName, Fabien]
-
A.
Fabrice
Fabrice is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
-
C.
Baptiste
Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
-
D.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
E.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
- 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: Fabien Triple: [Fabien Roussel, givenName, Fabien]
Generated description
Fabien is a French politician best known as the national secretary of the French Communist Party and a member of the National Assembly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabien Target entity description: Fabien is a French politician best known as the national secretary of the French Communist Party and a member of the National Assembly.
-
A.
Fabrice
Fabrice is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
-
C.
Baptiste
Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
-
D.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
E.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998cfeb748190bfff06534d83cf97 |
completed | April 11, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:11 p.m.