Triple

T27933436
Position Surface form Disambiguated ID Type / Status
Subject Yeah 3x E708043 entity
Predicate songwriter P1141 FINISHED
Object Amber Streeter
Amber Streeter, better known as Sevyn Streeter, is an American R&B singer and songwriter recognized for her solo work and for penning hits for major artists like Chris Brown and Ariana Grande.
E1799159 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: Amber Streeter | Statement: [Yeah 3x, songwriter, Amber Streeter]
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: Amber Streeter
Triple: [Yeah 3x, songwriter, Amber Streeter]
Generated description
Amber Streeter, better known as Sevyn Streeter, is an American R&B singer and songwriter recognized for her solo work and for penning hits for major artists like Chris Brown and Ariana Grande.

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a9df55c8190a658ebf04544109f completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b886e64c81909f53139390c9b639 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15b930d3a48190b47c9a7921d3f9b5 completed May 26, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a15bb82f47c8190bf0ec0ca187e3c4b completed May 26, 2026, 3:25 p.m.
Created at: April 27, 2026, 7:04 p.m.