Triple

T5082955
Position Surface form Disambiguated ID Type / Status
Subject 1,000 Hours E114565 entity
Predicate producer P490 FINISHED
Object Andy Ernst E114551 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: Andy Ernst | Statement: [1,000 Hours, producer, Andy Ernst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Ernst
Context triple: [1,000 Hours, producer, Andy Ernst]
  • A. Andy Ernst chosen
    Andy Ernst is a music producer best known for his work on early punk rock and alternative albums, including Green Day’s breakthrough record "Kerplunk."
  • B. David Heitner
    David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
  • C. Michael Hillegas
    Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
  • D. Robert Griesemer
    Robert Griesemer is a Swiss software engineer best known as one of the principal designers of the Go programming language at Google.
  • E. Eric Evans
    Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfbfe2bc81909758cad44baf809e completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:39 p.m.