Triple

T30714499
Position Surface form Disambiguated ID Type / Status
Subject Darren Emerson E781985 entity
Predicate notableWork P4 FINISHED
Object Underworld – Beaucoup Fish
Underworld – Beaucoup Fish is a critically acclaimed 1999 electronic music album by the British group Underworld, known for its innovative blend of techno, house, and experimental soundscapes.
E1929406 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: Underworld – Beaucoup Fish | Statement: [Darren Emerson, notableWork, Underworld – Beaucoup Fish]
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: Underworld – Beaucoup Fish
Triple: [Darren Emerson, notableWork, Underworld – Beaucoup Fish]
Generated description
Underworld – Beaucoup Fish is a critically acclaimed 1999 electronic music album by the British group Underworld, known for its innovative blend of techno, house, and experimental soundscapes.

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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c20d09481908f566241722507d3 completed May 2, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a289905d1a08190b2bc38a43f57fc78 completed June 9, 2026, 10:51 p.m.
NEDg Description generation batch_6a2899be081c8190ba9cd748063e8dc0 completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289ae6104c8190920332fe93d01b15 completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:35 p.m.