Triple

T32694041
Position Surface form Disambiguated ID Type / Status
Subject Mindi Abair E835949 entity
Predicate notableWork P4 FINISHED
Object Come As You Are
Come As You Are is a contemporary jazz album by saxophonist Mindi Abair that helped establish her as a prominent artist in the smooth jazz genre.
E2019699 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: Come As You Are | Statement: [Mindi Abair, notableWork, Come As You Are]
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: Come As You Are
Triple: [Mindi Abair, notableWork, Come As You Are]
Generated description
Come As You Are is a contemporary jazz album by saxophonist Mindi Abair that helped establish her as a prominent artist in the smooth jazz genre.

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_69f3493323288190a4e88251035fe96e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c81bc7e08190bddd4bca9f75367d completed May 3, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349ebe4c448190a7afd0ae1d18dfe2 completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f6592688190b12151bd9c3fe88a completed June 19, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a34a1136c6881909ba05be90baba354 completed June 19, 2026, 1:53 a.m.
Created at: May 1, 2026, 1:10 a.m.