Triple

T36629951

Position	Surface form	Disambiguated ID	Type / Status
Subject	Eskenazi Health	`E904285`	entity
Predicate	hasNonprofitFoundation	`P6873`	FINISHED
Object	Eskenazi Health Foundation Eskenazi Health Foundation is a nonprofit organization that raises and manages philanthropic support to advance the mission, programs, and services of Eskenazi Health.	`E2192402`	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: Eskenazi Health Foundation | Statement: [Eskenazi Health, hasNonprofitFoundation, Eskenazi Health Foundation]

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: Eskenazi Health Foundation
Triple: [Eskenazi Health, hasNonprofitFoundation, Eskenazi Health Foundation]

Generated description

Eskenazi Health Foundation is a nonprofit organization that raises and manages philanthropic support to advance the mission, programs, and services of Eskenazi Health.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasNonprofitFoundation
Context triple: [Eskenazi Health, hasNonprofitFoundation, Eskenazi Health Foundation]

A. hasNonprofitOrganization
Indicates that an entity is associated with or possesses a nonprofit organization, such as founding, owning, or formally operating it.
B. hasCharitableFoundation chosen
Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
C. nonprofitStatus
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
D. nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
E. isNonProfitProjectOf
Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
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_69f76e6ae750819096911e6e2d4d12c5`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3a09684a948190ac5f70db7a9ae59b`	completed	June 23, 2026, 4:19 a.m.
NEDg	Description generation	`batch_6a3a0a15210c819084ab1e220e80b65a`	completed	June 23, 2026, 4:22 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3a0abeacdc81909f45010c8cf53a78`	completed	June 23, 2026, 4:25 a.m.
PD	Predicate disambiguation	`batch_6a037a0bf4b88190bdcfae9a14b51f0a`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:11 p.m.