Triple
T7854531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annily Chatelain |
E182139
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Annily Chatelain |
E182139
|
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: Annily Chatelain | Statement: [Annily Chatelain, name, Annily Chatelain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annily Chatelain Context triple: [Annily Chatelain, name, Annily Chatelain]
-
A.
Annily Chatelain
chosen
Annily Chatelain is the daughter of French pop singer Alizée and is occasionally noted in French media due to her mother's fame.
-
B.
Anne Lauvergeon
Anne Lauvergeon is a French business executive best known for leading the nuclear energy company Areva and for her prominent role in France’s industrial and energy sectors.
-
C.
Catherine Lalumière
Catherine Lalumière is a French politician and lawyer known for her prominent role in European institutions and advocacy for European integration and human rights.
-
D.
Patricia Charbonnet
Patricia Charbonnet is a film producer best known for her work on the influential 1995 comedy "Friday."
-
E.
Dominique McElligott
Dominique McElligott is an Irish actress known for her roles in television series such as Hell on Wheels, House of Cards, and The Boys.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b27e9b081909a0574458ddf43b0 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:51 p.m.