Triple

T9548851
Position Surface form Disambiguated ID Type / Status
Subject Melanie Lynskey E230366 entity
Predicate notableWork P4 FINISHED
Object Mrs. America E491143 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: Mrs. America | Statement: [Melanie Lynskey, notableWork, Mrs. America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. America
Context triple: [Melanie Lynskey, notableWork, Mrs. America]
  • A. Mrs. America chosen
    Mrs. America is a historical drama miniseries that chronicles the political battle over the Equal Rights Amendment in the 1970s through the perspectives of both feminist activists and conservative women.
  • B. On the Basis of Sex
    On the Basis of Sex is a biographical legal drama film about Supreme Court Justice Ruth Bader Ginsburg’s early career and landmark gender discrimination case.
  • C. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • D. Madam President
    Madam President is the formal style of address used for a woman serving as President of the Senate in Belgium.
  • E. Madam President
    Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99059138819088ae54b26df979cf completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c82c98c8190a4fd6fc3ceb4173d completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.