Triple

T2945600
Position Surface form Disambiguated ID Type / Status
Subject Romola Garai E79492 entity
Predicate notableWork P4 FINISHED
Object Suffragette E299565 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: Suffragette | Statement: [Romola Garai, notableWork, Suffragette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffragette
Context triple: [Romola Garai, notableWork, Suffragette]
  • A. Suffragette chosen
    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.
  • B. Made in Dagenham
    Made in Dagenham is a British film dramatizing the 1968 Ford sewing machinists' strike, a landmark event in the fight for equal pay for women in the UK.
  • C. 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.
  • D. The Iron Lady
    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.
  • E. Their Finest
    Their Finest is a 2016 British romantic comedy-drama film set during World War II that follows a female screenwriter working on a morale-boosting propaganda movie for the Ministry of Information.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08692105c81908a3a146376b7417f completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:56 p.m.