Triple

T34436873
Position Surface form Disambiguated ID Type / Status
Subject Rodney Kendrick E883982 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Arthur Taylor
Arthur Taylor was an influential American jazz drummer and bandleader known for his work with major bebop and hard bop musicians and for leading the group Taylor's Wailers.
E2103321 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: Arthur Taylor | Statement: [Rodney Kendrick, hasCollaboratedWith, Arthur Taylor]
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: Arthur Taylor
Triple: [Rodney Kendrick, hasCollaboratedWith, Arthur Taylor]
Generated description
Arthur Taylor was an influential American jazz drummer and bandleader known for his work with major bebop and hard bop musicians and for leading the group Taylor's Wailers.

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_69f349c548d88190978e2a82502c03d0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7191119b081909d5c230bc3d3e811 completed May 3, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740f5b39481908d2749b8331463bb completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a3741b8cfb88190962eb07e14834923 completed June 21, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a3742e0c04081909c907e7f0160e57a completed June 21, 2026, 1:48 a.m.
Created at: May 1, 2026, 2 a.m.