Triple

T31159809
Position Surface form Disambiguated ID Type / Status
Subject Tom Skinner E794307 entity
Predicate notableWork P4 FINISHED
Object Voices of Bishara
Voices of Bishara is a critically acclaimed jazz album by British drummer and composer Tom Skinner that blends spiritual jazz, avant-garde improvisation, and rich rhythmic textures.
E1948480 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: Voices of Bishara | Statement: [Tom Skinner, notableWork, Voices of Bishara]
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: Voices of Bishara
Triple: [Tom Skinner, notableWork, Voices of Bishara]
Generated description
Voices of Bishara is a critically acclaimed jazz album by British drummer and composer Tom Skinner that blends spiritual jazz, avant-garde improvisation, and rich rhythmic textures.

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_69f224d504908190b01278dcb7fc3fa7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6984c728c81908d28f6234c614340 completed May 3, 2026, 12:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29472a33388190b6dd1dc416a094d8 completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a2948a5987481909ef8e541053b18fa completed June 10, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a294935afd08190b92fef7a63346d4e completed June 10, 2026, 11:23 a.m.
Created at: April 29, 2026, 9:07 p.m.