Triple
T13310246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Marche de l'empereur |
E317041
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Charles Berling |
E317044
|
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: Charles Berling | Statement: [La Marche de l'empereur, narrator, Charles Berling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Berling Context triple: [La Marche de l'empereur, narrator, Charles Berling]
-
A.
Charles Berling
chosen
Charles Berling is a French actor and director known for his work in film, television, and theater.
-
B.
Louis Seigner
Louis Seigner was a prominent French actor and long-time member of the Comédie-Française, known for his extensive work in theatre and film.
-
C.
Louis Henry Jourdan
Louis Henry Jourdan is the son of French actor Louis Jourdan, known for his work in classic Hollywood and European cinema.
-
D.
George Barbier
George Barbier was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films and on Broadway.
-
E.
Joseph Biroc
Joseph Biroc was an American cinematographer best known for his influential work on classic Hollywood films, including the beloved holiday movie "It's a Wonderful Life."
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e7b9a48190a33b04df8ad45ed8 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.