Triple
T22170867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You Gonna Be My Girl |
E547914
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jet |
—
|
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: Jet | Statement: [Are You Gonna Be My Girl, performer, Jet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Context triple: [Are You Gonna Be My Girl, performer, Jet]
-
A.
Jet
"Jet" is a popular song by Paul McCartney and Wings, known for its upbeat rock sound and prominent use of horns.
-
B.
Jet
chosen
Jet is an Australian rock band best known for their early-2000s garage rock revival sound and hits like "Are You Gonna Be My Girl."
-
C.
Jet
Jet is an American weekly magazine that historically focused on news, culture, and entertainment relevant to the African American community.
-
D.
Jet
Jet is the athletic mascot representing Newman University’s sports teams and school spirit.
-
E.
Jet
Jet is the nickname of Jason Terry, a former NBA guard known for his sharpshooting, clutch performances, and key role in the Dallas Mavericks’ 2011 championship.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.