Triple

T13939818
Position Surface form Disambiguated ID Type / Status
Subject Just a Little While E335210 entity
Predicate writer P1360 FINISHED
Object Dallas Austin E207682 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: Dallas Austin | Statement: [Just a Little While, writer, Dallas Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas Austin
Context triple: [Just a Little While, writer, Dallas Austin]
  • A. Dallas Austin chosen
    Dallas Austin is an American songwriter and producer known for crafting numerous R&B and pop hits for major artists since the late 1980s.
  • B. DallasK
    DallasK is an American DJ, record producer, and songwriter known for his work in electronic dance music and collaborations with major pop and EDM artists.
  • C. Austin
    Austin is one of Chicago’s largest and most populous West Side community areas, known for its historic residential architecture and significant demographic and economic changes over time.
  • D. Austin
    Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
  • E. Austin
    Austin is a common English given name used for people of all genders, derived from the Latin name Augustine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c81e988190a5fd8e2d83e065fe completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.