Triple
T19830153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellowstone |
E476436
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Breton Vivian |
—
|
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: Breton Vivian | Statement: [Yellowstone, composer, Breton Vivian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breton Vivian Context triple: [Yellowstone, composer, Breton Vivian]
-
A.
Breton Vivian
chosen
Breton Vivian is a film and television composer best known for his work on the hit series "Yellowstone."
-
B.
Jane Avril
Jane Avril is a famous poster by French artist Henri de Toulouse-Lautrec depicting the celebrated can-can dancer of the Moulin Rouge.
-
C.
Evangeline Bellefontaine
Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
-
D.
Rowena Morgan
Rowena Morgan is a talented young singer and student in the film "Mr. Holland's Opus," whose musical potential deeply inspires her teacher, Glenn Holland.
-
E.
Caroline Deslonde
Caroline Deslonde was a 19th-century Louisiana Creole woman best known as the wife of Confederate general P. G. T. Beauregard.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.