Triple
T18958282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rise Stevens |
E463838
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Carmen in Bizet's Carmen |
—
|
NE NERFINISHED |
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: Carmen in Bizet's Carmen | Statement: [Rise Stevens, notableRole, Carmen in Bizet's Carmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen in Bizet's Carmen Context triple: [Rise Stevens, notableRole, Carmen in Bizet's Carmen]
-
A.
Carmen in Carmen Suite
chosen
Carmen in *Carmen Suite* is the fiery, free-spirited heroine of Alberto Alonso’s ballet adaptation of Bizet’s opera, embodying passion, defiance, and tragic fate.
-
B.
Carmen
Carmen is a feminine given name of Latin origin, widely used in Spanish-speaking cultures and beyond.
-
C.
Carmen
Carmen is a character in the independent crime drama film "Dinner Rush," which centers on the high-pressure world of a New York City restaurant.
-
D.
Carmen
Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
-
E.
Carmen
Carmen is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d057a48190b82b5788b3281e28 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon