Triple

T4174910
Position Surface form Disambiguated ID Type / Status
Subject Jim Broadbent E86452 entity
Predicate notableWork P4 FINISHED
Object The Iron Lady E16696 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: The Iron Lady | Statement: [Jim Broadbent, notableWork, The Iron Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Iron Lady
Context triple: [Jim Broadbent, notableWork, The Iron Lady]
  • A. The Iron Lady chosen
    The Iron Lady is the famous nickname of Margaret Thatcher, the resolute and conservative Prime Minister who led the United Kingdom from 1979 to 1990.
  • B. The King’s Speech
    The King’s Speech is a 2010 historical drama film that follows the future King George VI’s struggle to overcome a debilitating stammer with the help of an unorthodox speech therapist.
  • C. The Young Victoria
    The Young Victoria is a historical drama film that portrays the early life and reign of Queen Victoria, featuring Emily Blunt in the title role.
  • D. Suffragette
    Suffragette is a 2015 British historical drama film that portrays the early feminist movement and the struggle of women activists fighting for the right to vote in the United Kingdom.
  • E. The Darkest Hour
    The Darkest Hour is a 2011 science fiction thriller film about a group of young people in Moscow fighting to survive an invisible alien invasion that drains electrical energy.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f564c9c8190bfc321c8ec2dac14 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.