Triple
T30148210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrity Poker Showdown |
E766312
|
entity |
| Predicate | includesCharitySpotlight |
P8929
|
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: [Celebrity Poker Showdown, includesCharitySpotlight, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCharitySpotlight Context triple: [Celebrity Poker Showdown, includesCharitySpotlight, true]
-
A.
showsCharityTo
Indicates that one entity performs benevolent or generous actions for the benefit of another entity.
-
B.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
C.
viewOnCharity
Indicates a person’s attitude, opinion, or stance toward charitable giving or charitable organizations.
-
D.
charitySingle
Indicates that an entity makes a one-time charitable contribution or donation to another entity.
-
E.
charityComponent
chosen
Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: April 29, 2026, 7:19 p.m.