Triple
T7830497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray |
E181352
|
entity |
| Predicate | chronologyNextSingle |
P2686
|
FINISHED |
| Object | Relight My Fire |
E181351
|
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: Relight My Fire | Statement: [Pray, chronologyNextSingle, Relight My Fire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Relight My Fire Context triple: [Pray, chronologyNextSingle, Relight My Fire]
-
A.
Relight My Fire
chosen
"Relight My Fire" is a 1993 dance-pop cover single by British boy band Take That, featuring Lulu, that became one of their signature hits.
-
B.
Take Me to the Light
"Take Me to the Light" is a collaborative song by Francis and the Lights featuring Bon Iver and Kanye West, known for its ethereal production and emotive, layered vocals.
-
C.
Keep It Burning
"Keep It Burning" is a song by Kanye West from his album *Donda 2*, known for its dark, atmospheric production and introspective lyrics.
-
D.
I’m on Fire
"I'm on Fire" is a 1984 song by Bruce Springsteen, known for its sparse, haunting sound and smoldering vocal delivery.
-
E.
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.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a854fac8190802599615a0f7bc4 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:44 p.m.