Triple
T23562198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea for the Tillerman 2 |
E579271
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | But I Might Die Tonight |
—
|
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: But I Might Die Tonight | Statement: [Tea for the Tillerman 2, includesTrack, But I Might Die Tonight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: But I Might Die Tonight Context triple: [Tea for the Tillerman 2, includesTrack, But I Might Die Tonight]
-
A.
But I Might Die Tonight
chosen
"But I Might Die Tonight" is a brief, introspective folk-rock song by Cat Stevens that reflects on mortality and the urgency of living authentically.
-
B.
Ain’t Gonna Die Tonight
"Ain’t Gonna Die Tonight" is an energetic, motivational hip-hop track by Macklemore featuring Eric Nally, known for its defiant lyrics about resilience and perseverance.
-
C.
I’ll Die for You
"I’ll Die for You" is a song featured on the album "Rebirth."
-
D.
Till the Day I Die
"Till the Day I Die" is a hard rock song by the British band Whitesnake from their 1981 album "Come an’ Get It."
-
E.
Till the Day I Die
Till the Day I Die is a 1935 anti-fascist stage play by American dramatist Clifford Odets, originally produced by the Group Theatre in New York.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:23 p.m.