Triple

T28046394
Position Surface form Disambiguated ID Type / Status
Subject Michael Spencer Jones E708693 entity
Predicate notableWorkSubject P4941 FINISHED
Object Oasis (band)
Oasis is a British rock band formed in Manchester in the early 1990s, known for spearheading the Britpop movement with anthemic songs like "Wonderwall" and "Don't Look Back in Anger."
E1807118 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: Oasis (band) | Statement: [Michael Spencer Jones, notableWorkSubject, Oasis (band)]
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: Oasis (band)
Triple: [Michael Spencer Jones, notableWorkSubject, Oasis (band)]
Generated description
Oasis is a British rock band formed in Manchester in the early 1990s, known for spearheading the Britpop movement with anthemic songs like "Wonderwall" and "Don't Look Back in Anger."

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_69ef9b6cf538819094a633ffa67afec1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63f342abc8190bc64e5d54d0ddacf completed May 2, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e696e46481909bf3703688c1d1e7 completed May 26, 2026, 6:29 p.m.
NEDg Description generation batch_6a15e7567dc081908f4e671e88a88a57 completed May 26, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15e7d83f60819099641b792da90e90 completed May 26, 2026, 6:35 p.m.
Created at: April 27, 2026, 8:29 p.m.