Triple

T11136608
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Farrell E263429 entity
Predicate appearedIn P795 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: [Nicholas Farrell, appearedIn, The Iron Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Iron Lady
Context triple: [Nicholas Farrell, appearedIn, 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463177bfc81908a3e66ffc0777777 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.