Triple

T26232942
Position Surface form Disambiguated ID Type / Status
Subject Critters Buggin E656085 entity
Predicate notableMember P10 FINISHED
Object Brad Houser
Brad Houser was an American bassist and multi-instrumentalist best known for his innovative work in alternative and experimental rock, including his role in the band Critters Buggin.
E1064055 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: Brad Houser | Statement: [Critters Buggin, notableMember, Brad Houser]
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: Brad Houser
Triple: [Critters Buggin, notableMember, Brad Houser]
Generated description
Brad Houser was an American bassist and multi-instrumentalist best known for his innovative work in alternative and experimental rock, including his role in the band Critters Buggin.

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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d88c7b0819096aa999f8f366dbd completed May 2, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131121b2108190b3a2c611970d6298 completed May 24, 2026, 2:54 p.m.
NEDg Description generation batch_6a1311c1006481909f44fbcb2281bf1f completed May 24, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a1313765d68819086ab9cd2eb98377f completed May 24, 2026, 3:04 p.m.
Created at: April 26, 2026, 9 p.m.