Triple

T31284850
Position Surface form Disambiguated ID Type / Status
Subject Tom Scott & The L.A. Express E797774 entity
Predicate hasPerformerRole P9640 FINISHED
Object Tom Scott – saxophonist
Tom Scott is an American saxophonist, composer, and bandleader known for his work in jazz, pop, and film and television scoring, including leading the fusion group L.A. Express.
 E1956835 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: Tom Scott – saxophonist | Statement: [Tom Scott & The L.A. Express, hasPerformerRole, Tom Scott – saxophonist]
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: Tom Scott – saxophonist
Triple: [Tom Scott & The L.A. Express, hasPerformerRole, Tom Scott – saxophonist]
Generated description
Tom Scott is an American saxophonist, composer, and bandleader known for his work in jazz, pop, and film and television scoring, including leading the fusion group L.A. Express.

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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e032d548190825bdb0fef2a9118 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e2d91b88190af5d2eec5265f41d completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a27a9e0608190b858add333bd93ce completed June 11, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_6a2a283d89f8819099ebcd6ebc1008f2 completed June 11, 2026, 3:15 a.m.
Created at: April 29, 2026, 9:13 p.m.