Triple

T2742043
Position Surface form Disambiguated ID Type / Status
Subject Christopher Plummer E60772 entity
Predicate notableWork P4 FINISHED
Object Beginners E136599 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: Beginners | Statement: [Christopher Plummer, notableWork, Beginners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beginners
Context triple: [Christopher Plummer, notableWork, Beginners]
  • A. Beginners chosen
    Beginners is a 2010 romantic comedy-drama film written and directed by Mike Mills, known for its heartfelt exploration of love, family, and late-in-life coming out.
  • B. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • C. Home Basic
    Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
  • D. BASIC
    BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
  • E. Easy Exotic
    Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb303898819098a7d192e29817f8 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbca8ac081909ce86d4cd911b4f1 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.