Triple
T3109796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Rocard |
E64922
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rocard
Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
|
E327112
|
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: Rocard | Statement: [Michel Rocard, familyName, Rocard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocard Context triple: [Michel Rocard, familyName, Rocard]
-
A.
Mauroy
Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
-
B.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
E.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
- 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: Rocard Triple: [Michel Rocard, familyName, Rocard]
Generated description
Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocard Target entity description: Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
-
A.
Mauroy
Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
-
B.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
E.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204b575c88190a5d3705c81f0dc6b |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b20574fab48190bf48d62d35dd4ed5 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.