Triple

T32418492
Position Surface form Disambiguated ID Type / Status
Subject Zebra Katz E828383 entity
Predicate notableWork P4 FINISHED
Object "Ima Read"
"Ima Read" is an underground hip-hop and performance art track by Zebra Katz, known for its minimalist beat, dark ballroom-inspired style, and influence on queer rap culture.
 E2006622 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: "Ima Read" | Statement: [Zebra Katz, notableWork, "Ima Read"]
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: "Ima Read"
Triple: [Zebra Katz, notableWork, "Ima Read"]
Generated description
"Ima Read" is an underground hip-hop and performance art track by Zebra Katz, known for its minimalist beat, dark ballroom-inspired style, and influence on queer rap culture.

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_69f34919f300819092b541c6277cd68a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c27db73c8190b8b90568b70a578b completed May 3, 2026, 3:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f2437808190a4f3f797c34d8d9a completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a3451d697ac819083c1e98c9ef7368c completed June 18, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a345f6260888190aacebc691ce44eeb completed June 18, 2026, 9:13 p.m.
Created at: May 1, 2026, 12:54 a.m.