Triple

T25794055
Position Surface form Disambiguated ID Type / Status
Subject Duke Robillard E649629 entity
Predicate notableAlbum P4 FINISHED
Object Too Hot to Handle
"Too Hot to Handle" is a blues album by American guitarist and singer Duke Robillard, showcasing his virtuosic playing and deep roots in traditional and jump blues styles.
 E1695784 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: Too Hot to Handle | Statement: [Duke Robillard, notableAlbum, Too Hot to Handle]
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: Too Hot to Handle
Triple: [Duke Robillard, notableAlbum, Too Hot to Handle]
Generated description
"Too Hot to Handle" is a blues album by American guitarist and singer Duke Robillard, showcasing his virtuosic playing and deep roots in traditional and jump blues styles.

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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5ff0198688190a38eccee09742c7d completed May 2, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc2fb0508190add4fb52c2c3dffb completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cef231808190964036018bb40eb9 completed May 22, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a10d2d28bb4819096838b2a1fa034a6 completed May 22, 2026, 10:04 p.m.
Created at: April 22, 2026, 6:27 a.m.