Triple

T30157639

Position	Surface form	Disambiguated ID	Type / Status
Subject	New York house music scene	`E766565`	entity
Predicate	influencedByDJ	`P87217`	FINISHED
Object	Larry Levan Larry Levan was a pioneering American DJ and producer best known for his legendary residency at New York’s Paradise Garage, where he helped shape the sound and culture of modern dance and house music.	`E1901465`	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: Larry Levan | Statement: [New York house music scene, influencedByDJ, Larry Levan]

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: Larry Levan
Triple: [New York house music scene, influencedByDJ, Larry Levan]

Generated description

Larry Levan was a pioneering American DJ and producer best known for his legendary residency at New York’s Paradise Garage, where he helped shape the sound and culture of modern dance and house music.

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

Target predicate: influencedByDJ
Context triple: [New York house music scene, influencedByDJ, Larry Levan]

A. influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
B. influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
C. influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
D. movementInfluences
Indicates that one entity’s movement affects, alters, or determines the movement or motion-related behavior of another entity.
E. wereInfluencedBy chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another 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_69f22479cd088190ab4c6f3fce39d1c5`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f757898fe48190b124dc7301672623`	completed	May 3, 2026, 2:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a274cc58430819089c545e66291b310`	completed	June 8, 2026, 11:14 p.m.
NEDg	Description generation	`batch_6a274d8eb3ec8190bf214160cbe464cd`	completed	June 8, 2026, 11:17 p.m.
NED2	Entity disambiguation (via description)	`batch_6a274e674bbc8190a88d0e74b663574a`	completed	June 8, 2026, 11:21 p.m.
PD	Predicate disambiguation	`batch_69f754c484348190948d2a04ff228fb1`	completed	May 3, 2026, 1:59 p.m.

Created at: April 29, 2026, 7:21 p.m.