Triple

T5399323
Position Surface form Disambiguated ID Type / Status
Subject Mike Leigh E120733 entity
Predicate notableWork P4 FINISHED
Object Career Girls E365895 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: Career Girls | Statement: [Mike Leigh, notableWork, Career Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Career Girls
Context triple: [Mike Leigh, notableWork, Career Girls]
  • A. Career Girls chosen
    Career Girls is a 1997 British comedy-drama film written and directed by Mike Leigh that follows two former college roommates reuniting and reflecting on their past.
  • B. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • C. Career Exploration Program
    The Career Exploration Program is a U.S. military-sponsored career guidance initiative that uses ASVAB results to help students and adults identify their strengths and explore suitable civilian and military career paths.
  • D. Weatherhead
    Weatherhead is a surname most prominently associated with Albert J. Weatherhead III, an American industrialist and philanthropist.
  • E. MyCareer mode
    MyCareer mode is a popular single-player career mode in the NBA 2K series where players create and develop a custom basketball player through games, storylines, and progression systems.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87499ec4819086f8292625b56f96 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf337f08088190a3678de0932b8310 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.