Triple
T15908949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryn Okada |
E385795
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bring It On |
E331412
|
NE FINISHED |
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: Bring It On | Statement: [Daryn Okada, notableWork, Bring It On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bring It On Context triple: [Daryn Okada, notableWork, Bring It On]
-
A.
Bring It On
chosen
Bring It On is a 2000 teen comedy film centered on competitive high school cheerleading, known for its witty dialogue, energetic routines, and exploration of rivalry and cultural appropriation.
-
B.
Bring It On
"Bring It On" is a track by Snoop Dogg from his 2000 studio album "Tha Last Meal."
-
C.
Bring It On Home
"Bring It On Home" is a country song by American group Little Big Town, known for its heartfelt lyrics and rich vocal harmonies.
-
D.
Bring It On Home to Me
"Bring It On Home to Me" is a classic 1962 soul ballad by Sam Cooke, celebrated for its gospel-infused style and enduring influence on popular music.
-
E.
Bring It On Again
Bring It On Again is a 2004 direct-to-video teen comedy film and the second installment in the Bring It On cheerleading movie franchise, featuring a new cast and storyline set in college.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.