Triple

T10963913
Position Surface form Disambiguated ID Type / Status
Subject Kick the Dust Up E259046 entity
Predicate writer P1360 FINISHED
Object Chris DeStefano E658983 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: Chris DeStefano | Statement: [Kick the Dust Up, writer, Chris DeStefano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris DeStefano
Context triple: [Kick the Dust Up, writer, Chris DeStefano]
  • A. Chris DeStefano chosen
    Chris DeStefano is an American songwriter and record producer known for his work on numerous contemporary country and pop hits.
  • B. Dan Stanzione
    Dan Stanzione is a computer scientist and high-performance computing expert who serves as the executive director of the Texas Advanced Computing Center at the University of Texas at Austin.
  • C. Andrew DeLuca
    Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
  • D. Christopher Mancini
    Christopher Mancini is one of the children of renowned American composer and conductor Henry Mancini.
  • E. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62fa15081909e7c71d8feda7391 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:23 p.m.