Triple
T1497951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Jacques Annaud |
E29728
|
entity |
| Predicate | notableAwardWork |
P17579
|
FINISHED |
| Object | The Bear |
E171621
|
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: The Bear | Statement: [Jean-Jacques Annaud, notableAwardWork, The Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bear Context triple: [Jean-Jacques Annaud, notableAwardWork, The Bear]
-
A.
The Bear
chosen
The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
-
B.
Le Blaireau
Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
-
C.
The Nine Bears
The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
-
D.
The Moose
"The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
-
E.
The Fox
The Fox is a film featuring Sydney Chaplin, the son of legendary comedian and filmmaker Charlie Chaplin.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2331b49881908672251bb86418df |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 1, 2026, 8:12 p.m.