Triple
T22912943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirt |
E568651
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rain When I Die |
—
|
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: Rain When I Die | Statement: [Dirt, hasPart, Rain When I Die]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain When I Die Context triple: [Dirt, hasPart, Rain When I Die]
-
A.
Rain When I Die
chosen
"Rain When I Die" is a dark, grunge track by Alice in Chains, known for its heavy riffs, haunting vocals, and introspective lyrics.
-
B.
And When I Die
"And When I Die" is a folk-rock song written by Laura Nyro that became widely known through Blood, Sweat & Tears' hit 1969 recording.
-
C.
The Day I Die
"The Day I Die" is a song featured on the album "Higher."
-
D.
You’re Gonna Die
"You’re Gonna Die" is a work by the experimental noise rock band Destroy All Monsters, reflecting their abrasive, avant-garde style and underground art-punk sensibilities.
-
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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.