Triple
T11382217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Loved You So Long |
E269623
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Philippe Claudel |
E107397
|
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: Philippe Claudel | Statement: [I've Loved You So Long, writer, Philippe Claudel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Claudel Context triple: [I've Loved You So Long, writer, Philippe Claudel]
-
A.
Philippe Claudel
chosen
Philippe Claudel is a French novelist, screenwriter, and film director best known for works such as "Il y a longtemps que je t'aime" ("I've Loved You So Long").
-
B.
Gérard Huet
Gérard Huet is a French computer scientist known for his influential work in formal methods, type theory, and the development of the Coq proof assistant.
-
C.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
D.
Alain Dahan
Alain Dahan is a film producer best known for his work on notable French cinema, including the acclaimed drama "Les Amants du Pont-Neuf."
-
E.
Nicolas Tournier
Nicolas Tournier was a French Baroque painter known for his dramatic use of light and shadow and religious scenes influenced by the style of Caravaggio.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12a7ea2c81909ac2ce2bbe549ebb |
completed | April 27, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:34 p.m.