Triple
T14372513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Wellington |
E356389
|
entity |
| Predicate | offersMenWatches |
P10882
|
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, offersMenWatches, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersMenWatches Context triple: [Daniel Wellington, offersMenWatches, true]
-
A.
watches
Indicates that one entity observes or views another entity or event, typically by looking at it attentively over a period of time.
-
B.
watchesVia
Indicates that one entity views or consumes content through a particular medium, platform, or device.
-
C.
eventsForMen
Indicates that the associated events are specifically designated for male participants.
-
D.
offersProduct
chosen
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
E.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
- 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.