Triple

T23917372
Position Surface form Disambiguated ID Type / Status
Subject Thompson Twins E602118 entity
Predicate formerMember P1168 FINISHED
Object Matthew Seligman
Matthew Seligman was an English bassist and session musician best known for his work in the 1980s new wave scene, including collaborations with artists like Thomas Dolby and David Bowie.
E1630533 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: Matthew Seligman | Statement: [Thompson Twins, formerMember, Matthew Seligman]
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: Matthew Seligman
Triple: [Thompson Twins, formerMember, Matthew Seligman]
Generated description
Matthew Seligman was an English bassist and session musician best known for his work in the 1980s new wave scene, including collaborations with artists like Thomas Dolby and David Bowie.

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_69e2953a187081908346a9f36e85fc98 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cf153c6c819084aca5c13437fa3d completed April 29, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd62ffb688190a3aca46cb8c56fe4 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd79af7dc81909b36001ba18566fa completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd86469288190aa03fe497754bad3 completed May 22, 2026, 4:15 a.m.
Created at: April 17, 2026, 8:40 p.m.