Triple

T26008539
Position Surface form Disambiguated ID Type / Status
Subject Sonny Stitt E646828 entity
Predicate fullName P16 FINISHED
Object Edward Hammond Boatner Jr.
Edward Hammond Boatner Jr., better known as Sonny Stitt, was an influential American jazz saxophonist renowned for his virtuosic bebop and hard bop performances.
E1765545 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: Edward Hammond Boatner Jr. | Statement: [Sonny Stitt, fullName, Edward Hammond Boatner Jr.]
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: Edward Hammond Boatner Jr.
Triple: [Sonny Stitt, fullName, Edward Hammond Boatner Jr.]
Generated description
Edward Hammond Boatner Jr., better known as Sonny Stitt, was an influential American jazz saxophonist renowned for his virtuosic bebop and hard bop performances.

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_69e77e89d5848190b54352cdb74f6029 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605b366f8819096534cffdd0aa509 completed May 2, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c791bc88190ad59b6f207d37633 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129cdeb5a48190a9d63b019074e2de completed May 24, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a129d64f3dc81909fe9ccc1db2ddaa1 completed May 24, 2026, 6:40 a.m.
Created at: April 22, 2026, 9:01 a.m.