Triple
T21441307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Belong |
E528944
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Dan Navarro |
—
|
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: Dan Navarro | Statement: [We Belong, lyricist, Dan Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Navarro Context triple: [We Belong, lyricist, Dan Navarro]
-
A.
Dan Navarro
chosen
Dan Navarro is an American singer-songwriter and voice actor best known for co-writing the hit song "We Belong," popularized by Pat Benatar.
-
B.
Steve Navarro
Steve Navarro is a fictional CIA station chief and covert traitor who serves as a primary antagonist in the television miniseries "24: Live Another Day."
-
C.
Mike Navarro
Mike Navarro is a relative of American guitarist Dave Navarro, known for his work with Jane's Addiction and the Red Hot Chili Peppers.
-
D.
Darrin Navarro
Darrin Navarro is a film editor known for his work on feature films such as "Brain on Fire."
-
E.
Eric Calvo
Eric Calvo is an American DJ and musician, also known as DJ Eric Cubiche, who gained public attention through his relationship with actress Jaime Pressly.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7022a5081908d9ad5058cecb8e5 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.