Triple
T16671171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can’t Stand Still |
E405107
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dirty Laundry |
E405103
|
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: Dirty Laundry | Statement: [I Can’t Stand Still, hasPart, Dirty Laundry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Laundry Context triple: [I Can’t Stand Still, hasPart, Dirty Laundry]
-
A.
Dirty Laundry
Dirty Laundry is a film directed by American filmmaker Phil Joanou.
-
B.
Dirty Laundry
chosen
"Dirty Laundry" is a 1982 satirical rock song by Don Henley that criticizes sensationalist and unethical practices in television news media.
-
C.
Dirty Pants
"Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
-
D.
Dirty Hands
Dirty Hands is a politically charged existentialist play by Jean-Paul Sartre that explores moral ambiguity, revolutionary ethics, and the conflict between ideology and personal responsibility.
-
E.
Dirty
"Dirty" is a 1992 alternative rock album by Sonic Youth, noted for its noisy guitar sound and association with the grunge era.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3692588190a94d349cb63d9749 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.