Triple

T12390789
Position Surface form Disambiguated ID Type / Status
Subject Christopher Plummer E295987 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. Beginner Books
    Beginner Books is a popular line of early-reader children's books, originally developed by Dr. Seuss and others to help young children learn to read through simple vocabulary and engaging stories.
  • C. Basic
    Basic is a simple HTTP authentication scheme defined in RFC 2617 that transmits user credentials encoded in Base64, typically over a secure transport like HTTPS.
  • D. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • E. Basic
    Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b941d208190b75de2083b8b74a4 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:54 p.m.