Triple
T23455146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blair Underwood |
E567900
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Set It Off |
—
|
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: Set It Off | Statement: [Blair Underwood, notableWork, Set It Off]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Set It Off Context triple: [Blair Underwood, notableWork, Set It Off]
-
A.
Set It Off
chosen
Set It Off is a 1996 crime thriller film about four women who turn to bank robbery, widely recognized for its strong ensemble cast and exploration of friendship, poverty, and systemic injustice.
-
B.
Set It Off
"Set It Off" is a track from Snoop Dogg's 2000 West Coast hip hop album "Tha Last Meal."
-
C.
Set It Off
"Set It Off" is a popular hip hop track by Canadian rapper Kardinal Offishall that helped establish his reputation in the rap and reggae fusion scene.
-
D.
Set Me Off
"Set Me Off" is a song by British-Irish girl group The Saturdays from their debut studio album "Chasing Lights."
-
E.
Don't Shoot
"Don't Shoot" is a track by Nas from his critically acclaimed hip-hop album *King's Disease III*, showcasing his reflective lyricism and mature storytelling.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a696e6c48190a7159292cfe3362f |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.