Triple
T21204902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Jordan |
E522551
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bolero |
—
|
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: Bolero | Statement: [Stanley Jordan, notableWork, Bolero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolero Context triple: [Stanley Jordan, notableWork, Bolero]
-
A.
Bolero
Bolero is a 1984 romantic drama film starring Bo Derek, known for its erotic themes and exotic locations.
-
B.
Boléro
chosen
Boléro is a famous orchestral piece by Maurice Ravel, renowned for its hypnotic repeating melody and gradual, relentless crescendo.
-
C.
Serenade
Serenade is a 1937 novel by American writer James M. Cain, known for its dark blend of crime, sexuality, and the world of opera.
-
D.
Serenade
"Serenade" is a popular mid-20th-century song composed by Nicholas Brodszky, known for its lush romantic melody and use in film and vocal performances.
-
E.
Arietta
Arietta is a small town located within Hamilton County in the state of New York, known for its rural character and proximity to the Adirondack Park.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:19 p.m.