Triple
T30465163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Gayton |
E775115
|
entity |
| Predicate | hasLedEnsemble |
P190354
|
FINISHED |
| Object | Explorations in Dub |
—
|
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: Explorations in Dub | Statement: [Clark Gayton, hasLedEnsemble, Explorations in Dub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLedEnsemble Context triple: [Clark Gayton, hasLedEnsemble, Explorations in Dub]
-
A.
hasEnsembles
Indicates that an entity is associated with one or more ensembles, typically as a member, component, or participant.
-
B.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
C.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
D.
hasLightShow
Indicates that an entity features or presents a light-based visual display or performance.
-
E.
hasOnboardLED
Indicates that an entity includes an LED that is physically integrated into its hardware.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 29, 2026, 8:11 p.m.