Triple
T22273039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faizon Love |
E550526
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blue Crush |
—
|
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: Blue Crush | Statement: [Faizon Love, notableWork, Blue Crush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Crush Context triple: [Faizon Love, notableWork, Blue Crush]
-
A.
Blue Crush
chosen
Blue Crush is a 2002 sports drama film about a group of young women surfers in Hawaii, known for its energetic surf sequences and focus on female athleticism and friendship.
-
B.
The Crush
"The Crush" is a 1993 psychological thriller film about a teenage girl's dangerous obsession with an older man.
-
C.
Crush
"Crush" is a late-1990s pop song by American singer Jennifer Paige that became an international hit and her signature track.
-
D.
Crush
Crush is a popular brand of fruit-flavored carbonated soft drinks best known for its orange soda.
-
E.
Crush
"Crush" is a crime novel by Phoef Sutton that blends dark humor with fast-paced, hard-boiled suspense.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.