Triple
T13995926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Your Radar |
E336695
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | All Fired Up |
E336684
|
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: All Fired Up | Statement: [On Your Radar, hasPart, All Fired Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Fired Up Context triple: [On Your Radar, hasPart, All Fired Up]
-
A.
All Fired Up
chosen
"All Fired Up" is a high-energy dance-pop single by British-Irish girl group The Saturdays, known for its club-ready production and chart success in the UK.
-
B.
Fired Up!
Fired Up! is a 2009 teen comedy film about two high school football players who attend cheerleading camp to meet girls, only to unexpectedly become invested in the squad.
-
C.
Girl on Fire
"Girl on Fire" is a 2012 R&B and soul anthem by Alicia Keys that became widely known for its powerful vocals and empowering, inspirational message.
-
D.
On Fire
"On Fire" is a hip-hop track produced by Kasseem Daoud Dean, better known as Swizz Beatz, showcasing his signature energetic, hard-hitting production style.
-
E.
On Fire
"On Fire" is a popular single by the American rock band Rebirth, known for its energetic sound and memorable hooks.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.