Triple

T31900275
Position Surface form Disambiguated ID Type / Status
Subject Lido Shuffle E814400 entity
Predicate hasNotableBackingVocalist P202878 FINISHED
Object Carolyn Willis
Carolyn Willis is an American singer best known as a member of the soul trio Honey Cone and for her prolific work as a session and backing vocalist on numerous hit recordings.
E2016308 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: Carolyn Willis | Statement: [Lido Shuffle, hasNotableBackingVocalist, Carolyn Willis]
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: Carolyn Willis
Triple: [Lido Shuffle, hasNotableBackingVocalist, Carolyn Willis]
Generated description
Carolyn Willis is an American singer best known as a member of the soul trio Honey Cone and for her prolific work as a session and backing vocalist on numerous hit recordings.

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_69f348f04d7881909537fc9e7cbc670e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00cabf54e48190b36a804074805b80 completed May 10, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34927f99048190b5a40e044fdecffe completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349348b22881909d8ba7ccb9abf6e8 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493e636b08190852e2c7126ce950a completed June 19, 2026, 12:57 a.m.
Created at: April 30, 2026, 11:59 p.m.