Triple

T36737462

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dance Hall Style	`E907520`	entity
Predicate	associatedWithProducerCollective	`P69875`	FINISHED
Object	Wackies crew Wackies crew is a pioneering New York-based reggae and dub production collective known for its influential 1970s–80s output on the Wackies label.	`E2197660`	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: Wackies crew | Statement: [Dance Hall Style, associatedWithProducerCollective, Wackies crew]

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: Wackies crew
Triple: [Dance Hall Style, associatedWithProducerCollective, Wackies crew]

Generated description

Wackies crew is a pioneering New York-based reggae and dub production collective known for its influential 1970s–80s output on the Wackies label.

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

Target predicate: associatedWithProducerCollective
Context triple: [Dance Hall Style, associatedWithProducerCollective, Wackies crew]

A. associatedProducerCollective chosen
Indicates a relationship where an entity is linked to, or works in connection with, a specific producer collective.
B. associatedWithCollector
Indicates that an entity has a relationship or connection with a collector, such as being owned, managed, or handled by that collector.
C. producerAssociation
Indicates a relationship where one entity is associated with or acts in the role of a producer for another entity or product.
D. associatedCollectiveRole
Indicates that an entity is linked to a role or function held within a collective, group, or organization.
E. associatedWithCollection
Indicates that an entity has a relationship or linkage to a particular collection, such as being included in, managed by, or contextually grouped with that collection.
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_69f76e75aa6881909b844d00a3888ee5`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3c172da0788190afaa121b4d5e6607`	completed	June 24, 2026, 5:43 p.m.
NEDg	Description generation	`batch_6a3c17d595a08190b8e006b7aca8421a`	completed	June 24, 2026, 5:45 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3c6ca9620c819080418d4a40073577`	completed	June 24, 2026, 11:47 p.m.
PD	Predicate disambiguation	`batch_6a037a0e039481908a4a2666f76c5363`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:12 p.m.