Triple

T26196927
Position Surface form Disambiguated ID Type / Status
Subject John Dawson Winter III E655129 entity
Predicate notableWork P4 FINISHED
Object Still Alive and Well
"Still Alive and Well" is a 1973 blues-rock album by American guitarist Johnny Winter, noted for its fiery guitar work and raw, hard-driving sound.
 E1715486 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: Still Alive and Well | Statement: [John Dawson Winter III, notableWork, Still Alive and Well]
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: Still Alive and Well
Triple: [John Dawson Winter III, notableWork, Still Alive and Well]
Generated description
"Still Alive and Well" is a 1973 blues-rock album by American guitarist Johnny Winter, noted for its fiery guitar work and raw, hard-driving sound.

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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60cd7b3e88190a1206958c0f0b225 completed May 2, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11857e8e108190a14a25356741c0d6 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861f5bd08190873109d86ffaca0a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186f95c8c8190ab60afefe537a971 completed May 23, 2026, 10:52 a.m.
Created at: April 26, 2026, 8:46 p.m.