Triple

T31659396
Position Surface form Disambiguated ID Type / Status
Subject Take It Back E807955 entity
Predicate performer P1363 FINISHED
Object Toni Braxton & Babyface
Toni Braxton & Babyface are an R&B duo collaboration between singer Toni Braxton and singer-songwriter/producer Babyface, known for their soulful ballads and smooth, romantic sound.
E1970567 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: Toni Braxton & Babyface | Statement: [Take It Back, performer, Toni Braxton & Babyface]
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: Toni Braxton & Babyface
Triple: [Take It Back, performer, Toni Braxton & Babyface]
Generated description
Toni Braxton & Babyface are an R&B duo collaboration between singer Toni Braxton and singer-songwriter/producer Babyface, known for their soulful ballads and smooth, romantic sound.

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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aa2402c081909b99cd5be5373eda completed May 3, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79ec05448190b3f0053304231c73 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7a6983e481908c22bc6844ca0bd2 completed June 12, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b739c488190b25323f8e490b2e4 completed June 12, 2026, 3:22 a.m.
Created at: April 30, 2026, 10:56 p.m.