Triple

T2990342
Position Surface form Disambiguated ID Type / Status
Subject Jobs E80734 entity
Predicate director P255 FINISHED
Object Joshua Michael Stern E102731 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: Joshua Michael Stern | Statement: [Jobs, director, Joshua Michael Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Michael Stern
Context triple: [Jobs, director, Joshua Michael Stern]
  • A. Joshua Michael Stern chosen
    Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
  • B. Jared Kleinman
    Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
  • C. Joshua Jortner
    Joshua Jortner is an Israeli physical chemist renowned for his pioneering work in molecular dynamics and chemical physics, and for his influential role in advancing Israel’s scientific community.
  • D. Adam Shulman
    Adam Shulman is an American actor and jewelry designer best known as the husband of actress Anne Hathaway.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99de55208190bc56ecbe08638e5a completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402b6f23081909aea1345a2938113 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 2:59 p.m.