Triple
T23241719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drop It Like It's Hot |
E581466
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Paul Hunter |
—
|
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: Paul Hunter | Statement: [Drop It Like It's Hot, musicVideoDirector, Paul Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Hunter Context triple: [Drop It Like It's Hot, musicVideoDirector, Paul Hunter]
-
A.
Paul Hunter
chosen
Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
-
B.
Paul Hunter
Paul Hunter is a film editor known for his work on animated feature films such as "The Nut Job."
-
C.
Paul Hunter
Paul Hunter was an English professional snooker player renowned for his flair, charisma, and multiple major ranking titles before his career was cut short by his early death.
-
D.
Paul Lowe
Paul Lowe is a former American Football League star running back best known for his standout career with the San Diego Chargers.
-
E.
John Higgins
John Higgins is a British comic book artist and colorist best known for his influential work on landmark graphic novels such as Watchmen.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192edd974819093a57456e7b12a03 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.