Triple

T24980193

Position	Surface form	Disambiguated ID	Type / Status
Subject	VH1 100 Greatest Women in Music	`E625140`	entity
Predicate	relatedTo	`P37`	FINISHED
Object	VH1 Divas VH1 Divas is a concert series and television special franchise that showcases live performances by prominent female pop, R&B, and soul artists, often framed as “divas” of contemporary music.	`E1658010`	NE 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: VH1 Divas | Statement: [VH1 100 Greatest Women in Music, relatedTo, VH1 Divas]

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: VH1 Divas
Triple: [VH1 100 Greatest Women in Music, relatedTo, VH1 Divas]

Generated description

VH1 Divas is a concert series and television special franchise that showcases live performances by prominent female pop, R&B, and soul artists, often framed as “divas” of contemporary music.

Provenance (5 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_69e2ff254570819093d197b1900305ac`	completed	April 18, 2026, 3:48 a.m.
NER	Named-entity recognition	`batch_69f4490531148190825ab7084a2616f3`	completed	May 1, 2026, 6:32 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a103361bf488190b09304760feac713`	completed	May 22, 2026, 10:43 a.m.
NEDg	Description generation	`batch_6a10345c68048190a7893610c58ec54c`	completed	May 22, 2026, 10:47 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1035004ea081908dc1f871f02ad95b`	completed	May 22, 2026, 10:50 a.m.

Created at: April 18, 2026, 6:02 a.m.