Triple

T3067432
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Irvine as young Eric Lomax E62136 entity
Predicate directorOfFilm P13455 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: [Jeremy Irvine as young Eric Lomax, directorOfFilm, Jonathan Teplitzky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Teplitzky
Context triple: [Jeremy Irvine as young Eric Lomax, directorOfFilm, 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. 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.
  • E. Josh Srebnick
    Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c1cbe848190a75c0e7108a5bc2c completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:02 p.m.