Triple

T36025701
Position Surface form Disambiguated ID Type / Status
Subject John William Lowery E1042121 entity
Predicate formerMemberOf P1168 FINISHED
Object Loser (band)
Loser was an American alternative rock band best known as a short-lived mid-2000s project featuring guitarist John 5 (John William Lowery) that blended hard rock and industrial influences.
E2165678 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: Loser (band) | Statement: [John William Lowery, formerMemberOf, Loser (band)]
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: Loser (band)
Triple: [John William Lowery, formerMemberOf, Loser (band)]
Generated description
Loser was an American alternative rock band best known as a short-lived mid-2000s project featuring guitarist John 5 (John William Lowery) that blended hard rock and industrial influences.

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_69f76e2c568881909e1e21f85252b0f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ace6241c81908ed5be09bb0a7b25 completed May 3, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38c00418b481909792a4a694937701 completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0a93ce881908c7f774b519e5247 completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c146238481909a2d82cd040468f6 completed June 22, 2026, 4:59 a.m.
Created at: May 3, 2026, 4:07 p.m.