Triple

T341897
Position Surface form Disambiguated ID Type / Status
Subject Meryl Streep E6853 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: [Meryl Streep, notableWork, The Iron Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Iron Lady
Context triple: [Meryl Streep, 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. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • E. The Crown
    The Crown is a critically acclaimed historical drama television series that chronicles the reign of Queen Elizabeth II and the political and personal events that shaped the second half of the 20th century.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eafef8c88190a5932eb2c6ac4a5d completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e883ac81909f2acb66b7bfa540 completed March 1, 2026, 5:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.