Triple

T25465704

Position	Surface form	Disambiguated ID	Type / Status
Subject	International Women’s Forum	`E638164`	entity
Predicate	hasGlobalProgram	`P4561`	FINISHED
Object	Leadership Foundation The Leadership Foundation is the global leadership development arm of the International Women’s Forum, dedicated to advancing and connecting high-potential women leaders worldwide.	`E1680674`	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: Leadership Foundation | Statement: [International Women’s Forum, hasGlobalProgram, Leadership 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: Leadership Foundation
Triple: [International Women’s Forum, hasGlobalProgram, Leadership Foundation]

Generated description

The Leadership Foundation is the global leadership development arm of the International Women’s Forum, dedicated to advancing and connecting high-potential women leaders worldwide.

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

Target predicate: hasGlobalProgram
Context triple: [International Women’s Forum, hasGlobalProgram, Leadership Foundation]

A. hasGlobalProgramme chosen
Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
B. hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
C. hasGlobalPlan
Indicates that an entity possesses or is associated with an overarching, comprehensive plan that applies at a global or system-wide level.
D. hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
E. hasCalledProgram
Indicates that one program has invoked or executed another program.
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_69e75db8bab08190baca80b4a8c315fd`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f5f74c5df88190a683cddba03a7afe`	completed	May 2, 2026, 1:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1089b7171c8190b5e5a044320080f3`	completed	May 22, 2026, 4:52 p.m.
NEDg	Description generation	`batch_6a108b354e148190abe0738535723e38`	completed	May 22, 2026, 4:58 p.m.
NED2	Entity disambiguation (via description)	`batch_6a108bc789948190bca50782a54091f8`	completed	May 22, 2026, 5 p.m.
PD	Predicate disambiguation	`batch_69f49377411c8190b2188de444d76795`	completed	May 1, 2026, 11:50 a.m.

Created at: April 21, 2026, 2:14 p.m.