Triple
T12436330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Hidalgo |
E297152
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anne Hidalgo |
E297152
|
NE FINISHED |
How this triple was built (2 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: Anne Hidalgo | Statement: [Anne Hidalgo, name, Anne Hidalgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Hidalgo Context triple: [Anne Hidalgo, name, Anne Hidalgo]
-
A.
Anne Hidalgo
chosen
Anne Hidalgo is a Spanish-born French politician who has served as the mayor of Paris since 2014.
-
B.
Bertrand Delanoë
Bertrand Delanoë is a French Socialist politician best known for serving as mayor of Paris from 2001 to 2014.
-
C.
Richard Ferrand
Richard Ferrand is a French politician who served as President of the National Assembly and was a close ally of President Emmanuel Macron within the La République En Marche! party.
-
D.
Laurent Wauquiez
Laurent Wauquiez is a French conservative politician who has held several ministerial posts and served as president of the regional council of Auvergne-Rhône-Alpes.
-
E.
Véronique Cazeneuve
Véronique Cazeneuve is a French figure known primarily as the wife of former Prime Minister Bernard Cazeneuve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f06d16481909ed2eb5195ebd7e4 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.