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
Network for Good is a nonprofit-focused online fundraising and donation processing platform that helps charities and causes collect and manage contributions.
 E1668246 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Network for Good
Triple: [Hope for Haiti Now telethon, donationProcessingPartner, Network for Good]
Generated description
Network for Good is a nonprofit-focused online fundraising and donation processing platform that helps charities and causes collect and manage contributions.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a105d0fe3388190803cc7bcf76446bd completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e32237c8190ba397b04b9692e7b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f44a8408190b02fe5f557ea43c1 completed May 22, 2026, 1:51 p.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:31 a.m.