Triple

T21463760
Position Surface form Disambiguated ID Type / Status
Subject Violet E529538 entity
Predicate screenwriter P2831 FINISHED
Object Mark Medoff NE NERFINISHED

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: Mark Medoff | Statement: [Violet, screenwriter, Mark Medoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Medoff
Context triple: [Violet, screenwriter, Mark Medoff]
  • A. Mark Medoff chosen
    Mark Medoff was an American playwright, screenwriter, and director best known for his Tony Award–winning play "Children of a Lesser God" and its acclaimed film adaptation.
  • B. Alan Kushner
    Alan Kushner is an individual notable enough to be specifically distinguished from others sharing the surname Kushner, though widely recognized public details about him are limited.
  • C. Tom Mendelsohn
    Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
  • D. Nathan Mendelsohn
    Nathan Mendelsohn was a real estate developer and visionary planner best known for conceiving and developing the master-planned community of California City in the Mojave Desert.
  • E. Larry Grossman
    Larry Grossman is an American composer best known for his work on Broadway and in musical theatre, as well as for writing songs for film and television.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f100fc819093999018f7d78443 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.