Triple
T21472176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genius of Love |
E529758
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Steven Stanley |
—
|
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: Steven Stanley | Statement: [Genius of Love, producer, Steven Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Stanley Context triple: [Genius of Love, producer, Steven Stanley]
-
A.
Steven Stanley
chosen
Steven Stanley is a Jamaican audio engineer and producer known for his influential work in reggae, dub, and new wave music.
-
B.
Steven Stanley
Steven Stanley is a fantasy writer known for creating imaginative, otherworldly stories within the speculative fiction genre.
-
C.
George Stanley
George Stanley was a Canadian-born poet and educator associated with the San Francisco Renaissance literary movement.
-
D.
George Stanley
George Stanley was a notable figure significant enough in regional history or public service to have the Stanley Reservoir in Tamil Nadu, India, named in his honor.
-
E.
George Stanley
George Stanley was an American sculptor best known for designing the iconic Oscar statuette for the Academy Awards.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea14756081908c615590c68904d5 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:19 p.m.