Triple

T32429663
Position Surface form Disambiguated ID Type / Status
Subject Starday Records E828683 entity
Predicate hadSubsidiary P9212 FINISHED
Object Nashville Records
Nashville Records was a country music record label associated with Starday Records, active during the mid-20th century American country and rockabilly era.
E2023606 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: Nashville Records | Statement: [Starday Records, hadSubsidiary, Nashville Records]
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: Nashville Records
Triple: [Starday Records, hadSubsidiary, Nashville Records]
Generated description
Nashville Records was a country music record label associated with Starday Records, active during the mid-20th century American country and rockabilly era.

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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2aa0d1c8190a4e207ed16f4b2a8 completed May 3, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b147c0588190b382b445575a42bc completed June 19, 2026, 3:02 a.m.
NEDg Description generation batch_6a34b226f710819086b2d0bee27a8c79 completed June 19, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a34b2ad5a9c81909f931b9ee49fab49 completed June 19, 2026, 3:08 a.m.
Created at: May 1, 2026, 12:54 a.m.