Triple
T25908412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Woolsey |
E652820
|
entity |
| Predicate | platformTypeFounded |
P162607
|
FINISHED |
| Object | entertainment platform |
—
|
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: entertainment platform | Statement: [Dan Woolsey, platformTypeFounded, entertainment platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformTypeFounded Context triple: [Dan Woolsey, platformTypeFounded, entertainment platform]
-
A.
platformTypeFounded
chosen
Indicates the type or category of platform that was established at the time of its founding.
-
B.
productTypeFounded
Indicates that a product type was established or came into existence as a result of a founding event or action.
-
C.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
D.
platformFirstReleased
Indicates the date or time when a platform was initially released or made publicly available.
-
E.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 8:27 a.m.