Triple
T25159916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope for Haiti Now telethon |
E626407
|
entity |
| Predicate | donationProcessingPartner |
P34923
|
FINISHED |
| Object | Network for Good |
—
|
NE NERFINISHED |
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: Network for Good | Statement: [Hope for Haiti Now telethon, donationProcessingPartner, Network for Good]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donationProcessingPartner Context triple: [Hope for Haiti Now telethon, donationProcessingPartner, Network for Good]
-
A.
isNonprofitPartnerOf
Indicates that one entity is a nonprofit organization that collaborates or partners with another entity in a formal or recognized capacity.
-
B.
isDonorProgramOf
Indicates that one entity is a donor program that provides funding or resources to support another entity.
-
C.
acquisitionPartner
Indicates a relationship where one entity collaborates with or assists another in acquiring a third entity, asset, or resource.
-
D.
creditCardPartner
Indicates a partnership or affiliation between entities related to credit card products or services.
-
E.
cooperationPartner
chosen
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46b8bc80081909a48236997f4018d |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:31 a.m.