Triple

T31193078
Position Surface form Disambiguated ID Type / Status
Subject Frozen Jap E795235 entity
Predicate hasArtistRole P9640 FINISHED
Object Paul McCartney – keyboards
Paul McCartney – keyboards refers to Paul McCartney’s role as the keyboard player on the track “Frozen Jap,” showcasing his multi-instrumental contributions beyond bass and vocals.
 E1952396 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: Paul McCartney – keyboards | Statement: [Frozen Jap, hasArtistRole, Paul McCartney – keyboards]
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: Paul McCartney – keyboards
Triple: [Frozen Jap, hasArtistRole, Paul McCartney – keyboards]
Generated description
Paul McCartney – keyboards refers to Paul McCartney’s role as the keyboard player on the track “Frozen Jap,” showcasing his multi-instrumental contributions beyond bass and vocals.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f699165eac8190bd0f391474faedcd completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2959187fb081908dd9fbdaf5c30015 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959d4ecac8190a55af600fc9cc74a completed June 10, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a295cb4623c8190b7d5cf9a072627f7 completed June 10, 2026, 12:46 p.m.
Created at: April 29, 2026, 9:09 p.m.