Triple

T24095002
Position Surface form Disambiguated ID Type / Status
Subject Silver Bullet Band E596890 entity
Predicate hasMember P10 FINISHED
Object Drew Abbott
Drew Abbott is an American rock guitarist best known for his work with Bob Seger as a member of the Silver Bullet Band.
E1632287 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: Drew Abbott | Statement: [Silver Bullet Band, hasMember, Drew Abbott]
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: Drew Abbott
Triple: [Silver Bullet Band, hasMember, Drew Abbott]
Generated description
Drew Abbott is an American rock guitarist best known for his work with Bob Seger as a member of the Silver Bullet Band.

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_69e288c548048190a5c1018da1166a21 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dd2332b48190a711b2a0a304f3c2 completed April 29, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd635c97481908126bd0b44ff31b6 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd76f32f081908122da8e6064e205 completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8e5ce10819096e6cdff28c1b3a2 completed May 22, 2026, 4:17 a.m.
Created at: April 17, 2026, 10:58 p.m.