Triple
T9465172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | While My Guitar Gently Weeps |
E228252
|
entity |
| Predicate | hasAcousticDemoVersion |
P89096
|
FINISHED |
| Object | Esher demo |
—
|
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: Esher demo | Statement: [While My Guitar Gently Weeps, hasAcousticDemoVersion, Esher demo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcousticDemoVersion Context triple: [While My Guitar Gently Weeps, hasAcousticDemoVersion, Esher demo]
-
A.
hasAcousticVersionBy
Indicates that one entity is an acoustic version of another, created or performed by a specified agent.
-
B.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
C.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
D.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
E.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
- F. None of above. chosen
Provenance (4 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdad3c4819083b06f1b45acc85a |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69ccbf9b080c819098934a18cf2bac5d |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:53 p.m.