Triple
T20390755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight Below |
E498076
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Christopher Rouse |
—
|
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: Christopher Rouse | Statement: [Eight Below, editor, Christopher Rouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Rouse Context triple: [Eight Below, editor, Christopher Rouse]
-
A.
Christopher Rouse
chosen
Christopher Rouse is an American film editor known for his work on high-octane action movies, including several entries in the Bourne franchise.
-
B.
Christopher Rouse
Christopher Rouse was an American composer renowned for his emotionally intense, rhythmically driven orchestral works and his influential role as a composition teacher.
-
C.
William Bolcom
William Bolcom is an American composer and pianist known for his eclectic style that blends classical music with popular and cabaret influences.
-
D.
Aaron Jay Kernis
Aaron Jay Kernis is a Pulitzer Prize–winning American composer known for his vividly expressive, stylistically diverse orchestral and chamber works.
-
E.
Richard Danielpour
Richard Danielpour is an American composer known for his contemporary classical works, including operas, orchestral pieces, and chamber music that often explore social and historical themes.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.