Triple
T22912960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirt |
E568651
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Would? |
—
|
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: Would? | Statement: [Dirt, notableSong, Would?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Would? Context triple: [Dirt, notableSong, Would?]
-
A.
Would?
chosen
"Would?" is a dark, brooding grunge song by Alice in Chains, best known for its haunting vocals, heavy riffs, and appearance on both the "Dirt" album and the "Singles" film soundtrack.
-
B.
Would You?
"Would You?" is a popular song from the early 20th century, best known today for its use in the classic musical film "Singin' in the Rain."
-
C.
What?
"What?" is a track by A Tribe Called Quest from their influential 1991 hip-hop album *The Low End Theory*, known for its playful, stream-of-consciousness lyrics over a jazz-infused beat.
-
D.
What?
"What?" is a 1972 surreal black comedy film directed by Roman Polanski, known for its absurd, dreamlike narrative and provocative blend of sex and violence.
-
E.
Do U?
"Do U?" is a hip hop track by the Chicago rap duo Do or Die, showcasing their smooth, melodic Midwest rap style.
- 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.