Triple
T2159547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy in Love |
E47968
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Jake Nava |
E69967
|
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: Jake Nava | Statement: [Crazy in Love, musicVideoDirector, Jake Nava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Nava Context triple: [Crazy in Love, musicVideoDirector, Jake Nava]
-
A.
Jake Nava
chosen
Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
-
B.
Javier Navarro
Javier Navarro is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Felix Rodriguez
Felix Rodriguez is a Cuban-American former CIA operative known for his involvement in covert Cold War operations, including the Bay of Pigs invasion and the capture of Che Guevara.
-
D.
Eddie Cibrian
Eddie Cibrian is an American actor best known for his roles in television series such as "Third Watch," "CSI: Miami," and "Sunset Beach."
-
E.
Jared Borgetti
Jared Borgetti is a retired Mexican footballer and prolific striker best known as one of Mexico’s all-time leading goal scorers and a standout for the national team in the early 2000s.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe6a412c8190ae632282650739d9 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ef2dda08190b55919f0df935a6d |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:45 p.m.