Triple

T24480978
Position Surface form Disambiguated ID Type / Status
Subject Whitney Houston: I Wanna Dance with Somebody E617369 entity
Predicate producer P490 FINISHED
Object Larry Mestel
Larry Mestel is a music industry executive and producer best known as the founder and CEO of Primary Wave, a major music publishing and talent management company.
E1638951 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: Larry Mestel | Statement: [Whitney Houston: I Wanna Dance with Somebody, producer, Larry Mestel]
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: Larry Mestel
Triple: [Whitney Houston: I Wanna Dance with Somebody, producer, Larry Mestel]
Generated description
Larry Mestel is a music industry executive and producer best known as the founder and CEO of Primary Wave, a major music publishing and talent management company.

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_69e2d7f3ae788190b683394db15f220e completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29ed5d4388190a8a6ce4079aa8a54 completed April 30, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee7876788190a934cef90090bdf7 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0ff03ffa2c81908fe3c321029c784f completed May 22, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff10a3f508190bd92090d91a86020 completed May 22, 2026, 6 a.m.
Created at: April 18, 2026, 2:21 a.m.