Triple
T14372522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Wellington |
E356389
|
entity |
| Predicate | hasAnalogDisplay |
P93
|
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: [Daniel Wellington, hasAnalogDisplay, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnalogDisplay Context triple: [Daniel Wellington, hasAnalogDisplay, true]
-
A.
isAnalogOrDigital
chosen
Indicates whether something operates using analog signals/representation or digital signals/representation.
-
B.
supportsAnalogOnly
Indicates that the subject provides or is compatible only with analog functionality, and does not support any digital capabilities.
-
C.
hasDial
Indicates that an object is equipped with or features a dial control as part of its interface or mechanism.
-
D.
hasClockFigures
Indicates that an object features or includes figures or representations that are part of a clock.
-
E.
hasClockFaces
Indicates that an object is equipped with one or more clock faces.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.