Triple

T27458057
Position Surface form Disambiguated ID Type / Status
Subject Shara Nelson E692655 entity
Predicate notableWork P4 FINISHED
Object One Goodbye in Ten
"One Goodbye in Ten" is a soulful 1993 single by British singer Shara Nelson, showcasing her emotive vocals and blending elements of pop, soul, and trip hop.
 E1772442 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: One Goodbye in Ten | Statement: [Shara Nelson, notableWork, One Goodbye in Ten]
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: One Goodbye in Ten
Triple: [Shara Nelson, notableWork, One Goodbye in Ten]
Generated description
"One Goodbye in Ten" is a soulful 1993 single by British singer Shara Nelson, showcasing her emotive vocals and blending elements of pop, soul, and trip hop.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dcb69848190a512b1bf1fc9a5c7 completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b26320648190820954ada6c6244a completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b3d5fee88190ac3967d51bd879a3 completed May 24, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a12b456bad48190b232cd4968f2b041 completed May 24, 2026, 8:18 a.m.
Created at: April 27, 2026, 12:49 p.m.