Triple

T33897547
Position Surface form Disambiguated ID Type / Status
Subject Saunders Terrell E868954 entity
Predicate notableWork P4 FINISHED
Object “Hootin’ the Blues”
“Hootin’ the Blues” is a classic country blues song by Saunders Terrell, better known as Sonny Terry, showcasing his distinctive harmonica playing and vocal style.
 E863014 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: “Hootin’ the Blues” | Statement: [Saunders Terrell, notableWork, “Hootin’ the Blues”]
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: “Hootin’ the Blues”
Triple: [Saunders Terrell, notableWork, “Hootin’ the Blues”]
Generated description
“Hootin’ the Blues” is a classic country blues song by Saunders Terrell, better known as Sonny Terry, showcasing his distinctive harmonica playing and vocal style.

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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7018021588190b3a5c8dc51616da2 completed May 3, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3682408df08190b17692d4f989d291 completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3683b5ac0881909f03e1e94896067d completed June 20, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a36848f1d1881908bb386f2efd7e47a completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:48 a.m.