Triple

T36737849
Position Surface form Disambiguated ID Type / Status
Subject Sound Dimension E907531 entity
Predicate hasMember P10 FINISHED
Object Ernest Ranglin
Ernest Ranglin is a Jamaican guitarist and composer renowned as a pioneering figure in ska, reggae, and jazz music.
E2200433 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: Ernest Ranglin | Statement: [Sound Dimension, hasMember, Ernest Ranglin]
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: Ernest Ranglin
Triple: [Sound Dimension, hasMember, Ernest Ranglin]
Generated description
Ernest Ranglin is a Jamaican guitarist and composer renowned as a pioneering figure in ska, reggae, and jazz music.

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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8fb792881909c52717889255b27 completed May 3, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5179f88190a632adcb5f5a1d57 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddf258d8c81909c3bd98db9b401b0 completed June 26, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3de79c19248190be2417182bcc0754 completed June 26, 2026, 2:44 a.m.
Created at: May 3, 2026, 4:12 p.m.