Triple

T26813095
Position Surface form Disambiguated ID Type / Status
Subject SFJAZZ Collective E672049 entity
Predicate label P38 FINISHED
Object SFJAZZ Records
SFJAZZ Records is a jazz-focused record label associated with the San Francisco–based SFJAZZ organization, known for documenting performances and projects by the SFJAZZ Collective and related artists.
E1744373 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: SFJAZZ Records | Statement: [SFJAZZ Collective, label, SFJAZZ Records]
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: SFJAZZ Records
Triple: [SFJAZZ Collective, label, SFJAZZ Records]
Generated description
SFJAZZ Records is a jazz-focused record label associated with the San Francisco–based SFJAZZ organization, known for documenting performances and projects by the SFJAZZ Collective and related artists.

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_69eeb3225a3c8190aaf6746efeded2f3 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a830edc8190a73ebf0085d5d151 completed May 2, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12133628ec8190840ad3d13e4fce9a completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a1213e1db8c81909e9d6d69b10ec80a completed May 23, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_6a12143c15d08190a545c5a7c39891e6 completed May 23, 2026, 8:55 p.m.
Created at: April 27, 2026, 4:30 a.m.