Triple
T35705414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Machine |
E1031704
|
entity |
| Predicate | hasStrippedDownSoundComparedTo |
P88205
|
FINISHED |
| Object | earlier work by The Dandy Warhols |
—
|
LITERAL 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: earlier work by The Dandy Warhols | Statement: [This Machine, hasStrippedDownSoundComparedTo, earlier work by The Dandy Warhols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrippedDownSoundComparedTo Context triple: [This Machine, hasStrippedDownSoundComparedTo, earlier work by The Dandy Warhols]
-
A.
hasEnhancedSoundComparedTo
Indicates that one entity’s sound quality, volume, or richness is improved or superior when compared to another entity.
-
B.
hasUnpolishedSound
chosen
Indicates that something produces or exhibits a rough, raw, or unrefined sound quality.
-
C.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
D.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
E.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
- F. None of above.
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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
Created at: May 3, 2026, 4:05 p.m.