Triple
T30933520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino Night |
E788057
|
entity |
| Predicate | charityBeneficiaryInPlot |
P16661
|
FINISHED |
| Object | local charity |
—
|
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: local charity | Statement: [Casino Night, charityBeneficiaryInPlot, local charity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charityBeneficiaryInPlot Context triple: [Casino Night, charityBeneficiaryInPlot, local charity]
-
A.
philanthropicBeneficiary
chosen
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
-
B.
charitySingle
Indicates that an entity makes a one-time charitable contribution or donation to another entity.
-
C.
charityModel
Indicates a relationship where an entity operates according to, or is characterized by, a particular model or framework for conducting charitable activities or philanthropy.
-
D.
benefactionLocation
Indicates the place or location where a benefaction (such as a gift, donation, or helpful act) is given, received, or takes effect.
-
E.
notablePhilanthropicBeneficiary
Indicates that an entity is a significant recipient of philanthropic donations, support, or charitable contributions from another entity.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:52 p.m.