Triple

T30452751
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Road E774762 entity
Predicate hasPerformerRole P9640 FINISHED
Object bass by Alec John Such
"bass by Alec John Such" refers to the bass guitar parts performed by Alec John Such, the original bassist of the American rock band Bon Jovi.
 E1914633 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: bass by Alec John Such | Statement: [Tokyo Road, hasPerformerRole, bass by Alec John Such]
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: bass by Alec John Such
Triple: [Tokyo Road, hasPerformerRole, bass by Alec John Such]
Generated description
"bass by Alec John Such" refers to the bass guitar parts performed by Alec John Such, the original bassist of the American rock band Bon Jovi.

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_69f22494fb60819095d893de0284f886 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686c5a6948190a263ae69d0d9e87a completed May 2, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798caeab88190b58dcb64d78153d3 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a27997f45fc819085f30cac1be7c33f completed June 9, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_6a279a2c8d0c8190aa6d61585c23d0ab completed June 9, 2026, 4:44 a.m.
Created at: April 29, 2026, 8:09 p.m.