Triple

T33848864
Position Surface form Disambiguated ID Type / Status
Subject Merle Haggard and The Strangers E867557 entity
Predicate hasMember P10 FINISHED
Object Tiny Moore
Tiny Moore was an American Western swing musician best known for his virtuoso electric mandolin playing, particularly with Bob Wills and His Texas Playboys.
 E867562 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: Tiny Moore | Statement: [Merle Haggard and The Strangers, hasMember, Tiny Moore]
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: Tiny Moore
Triple: [Merle Haggard and The Strangers, hasMember, Tiny Moore]
Generated description
Tiny Moore was an American Western swing musician best known for his virtuoso electric mandolin playing, particularly with Bob Wills and His Texas Playboys.

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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f700714a908190ba78a2e5ac4c0261 completed May 3, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36822ef8e88190954ed0d51c1f84a2 completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3683f55cb88190bc7fd6d9db4e99e0 completed June 20, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_6a36848f1d1881908bb386f2efd7e47a completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:47 a.m.