Triple
T23309793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Dangerfield |
E590550
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Santana |
—
|
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: Santana | Statement: [Brent Dangerfield, associatedAct, Santana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santana Context triple: [Brent Dangerfield, associatedAct, Santana]
-
A.
Santana
Santana is a Brazilian municipality in the state of Amapá, known as an important port city in the Amazon River region.
-
B.
Santana
Santana is a municipality on the northern coast of Madeira Island in Portugal, known for its traditional thatched houses and mountainous landscapes.
-
C.
Santana
Santana is a common Portuguese and Spanish surname borne by numerous notable individuals across sports, music, and other fields.
-
D.
Santana (band)
chosen
Santana is a pioneering Latin rock band formed in the late 1960s, best known for its fusion of rock, blues, jazz, and Afro-Latin rhythms and for iconic guitar work by its leader Carlos Santana.
-
E.
Sântana
Sântana is a town in western Romania known for its agricultural surroundings and location within Arad County in the historical region of Crișana.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19729f7a4819092a1d24415b3df7a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.