Triple

T38595813
Position Surface form Disambiguated ID Type / Status
Subject Howie Pyro E934075 entity
Predicate birthName P65 FINISHED
Object Howard Kusten
Howard Kusten, better known as Howie Pyro, was an American bassist, DJ, and founding member of the punk band D Generation, recognized for his influential role in New York’s punk and underground music scenes.
E2286242 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: Howard Kusten | Statement: [Howie Pyro, birthName, Howard Kusten]
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: Howard Kusten
Triple: [Howie Pyro, birthName, Howard Kusten]
Generated description
Howard Kusten, better known as Howie Pyro, was an American bassist, DJ, and founding member of the punk band D Generation, recognized for his influential role in New York’s punk and underground music scenes.

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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd94092a88190a5863ff145ec6ad8 completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4657384bb08190858a8ca0240d63e2 completed July 2, 2026, 12:19 p.m.
NEDg Description generation batch_6a46582a04f0819097549c340ee9669a completed July 2, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a465c7914e88190bf42bd5eb33562be completed July 2, 2026, 12:41 p.m.
Created at: May 3, 2026, 4:32 p.m.