Triple
T13795436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Diagrams |
E331501
|
entity |
| Predicate | hasExperimentalSound |
P111486
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [8 Diagrams, hasExperimentalSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperimentalSound Context triple: [8 Diagrams, hasExperimentalSound, true]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
C.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
D.
usesSoundDevice
Indicates that one entity operates or relies on a sound-producing or sound-processing device in relation to another entity or context.
-
E.
hasSoundEngineType
Indicates a relationship where an entity is associated with or characterized by a specific type of sound engine.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.