Triple
T22126103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am |
E546793
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Fire Under My Feet |
—
|
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: Fire Under My Feet | Statement: [I Am, notableTrack, Fire Under My Feet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire Under My Feet Context triple: [I Am, notableTrack, Fire Under My Feet]
-
A.
Fire Under My Feet
chosen
"Fire Under My Feet" is a soulful, uptempo pop song by British singer Leona Lewis, known for its powerful vocals and themes of resilience and empowerment.
-
B.
At Your Feet
"At Your Feet" is a song recorded by the American rock band Bombshell.
-
C.
Fire Woman
"Fire Woman" is a 1989 rock song by British band The Cult, known for its driving guitar riff and status as one of the group's signature hits.
-
D.
Fire On High
"Fire On High" is an instrumental progressive rock track by Electric Light Orchestra, known for its dramatic orchestration and use of backward-masked audio.
-
E.
My Own Two Feet
My Own Two Feet is a song by British singer and entertainer Kenny Lynch, reflecting his pop and R&B-influenced style from the 1960s.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.