Triple

T6994400
Position Surface form Disambiguated ID Type / Status
Subject Burning Man E162170 entity
Predicate director P255 FINISHED
Object Jonathan Teplitzky E162170 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: Jonathan Teplitzky | Statement: [Burning Man, director, Jonathan Teplitzky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Teplitzky
Context triple: [Burning Man, director, Jonathan Teplitzky]
  • A. Jonathan Teplitzky chosen
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • B. Matt Weitzman
    Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
  • C. Jonathan Pytko
    Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
  • D. Justin Furstenfeld
    Justin Furstenfeld is an American singer, songwriter, and guitarist best known as the lead vocalist and primary lyricist of the rock band Blue October.
  • E. Chris Malachowsky
    Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c7e87b88190bed99f68bbffa186 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:32 p.m.