Triple

T24180030
Position Surface form Disambiguated ID Type / Status
Subject Jim Capfer E599392 entity
Predicate notableWork P4 FINISHED
Object "Texas Flood"
"Texas Flood" is a renowned electric blues song and album most famously associated with guitarist Stevie Ray Vaughan, showcasing his virtuosic playing and revitalizing modern blues in the 1980s.
E1620535 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: "Texas Flood" | Statement: [Jim Capfer, notableWork, "Texas Flood"]
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: "Texas Flood"
Triple: [Jim Capfer, notableWork, "Texas Flood"]
Generated description
"Texas Flood" is a renowned electric blues song and album most famously associated with guitarist Stevie Ray Vaughan, showcasing his virtuosic playing and revitalizing modern blues in the 1980s.

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_69e288cca05481908faeb1563711114a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e1d41d888190af0d1c6b13bc3ebd completed April 29, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad43075481908f73af18ffd27f32 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae4aa5e08190aa6dbcbd7cedcbdc completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faee66d088190aa2b09143548b11b completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:34 p.m.