Triple
T5532224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Down, Moses |
E145074
|
entity |
| Predicate | notableStory |
P7331
|
FINISHED |
| Object | The Bear |
E529106
|
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: [Go Down, Moses, notableStory, The Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bear Context triple: [Go Down, Moses, notableStory, The Bear]
-
A.
The Bear
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.
The Bear
chosen
"The Bear" is a renowned short story by William Faulkner, often celebrated as a centerpiece of his Yoknapatawpha County saga and a classic of American Southern literature.
-
C.
Two Lovers and a Bear
Two Lovers and a Bear is a Canadian romantic drama film set in a remote Arctic town, following two troubled lovers seeking escape and emotional healing amid the harsh northern landscape.
-
D.
Coal the Bear
Coal the Bear is a fictional bear character, likely from a children’s story or animated series, known for appearing alongside the character Copper.
-
E.
Le Blaireau
Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9d17ec8190b93b12931a4c1b33 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cdccb70819081bfe0e4a56f253f |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.