Triple

T14698772
Position Surface form Disambiguated ID Type / Status
Subject Company Pictures E345233 entity
Predicate notableWork P4 FINISHED
Object Elizabeth I E64313 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: Elizabeth I | Statement: [Company Pictures, notableWork, Elizabeth I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth I
Context triple: [Company Pictures, notableWork, Elizabeth I]
  • A. Elizabeth I of England
    Elizabeth I of England was the long-reigning Tudor queen (1558–1603) whose rule oversaw the Elizabethan cultural flourishing, the defeat of the Spanish Armada, and the consolidation of Protestantism in England.
  • B. Elizabeth chosen
    "Elizabeth" is a 1998 historical drama film that chronicles the early reign of Queen Elizabeth I of England, starring Cate Blanchett in the title role.
  • C. Elizabeth
    Elizabeth is a comedic, high-strung fiancée character in the 1974 Mel Brooks film "Young Frankenstein," known for her dramatic personality and memorable scenes.
  • D. Elizabeth
    Elizabeth is the given first name of Lady Sarah McCorquodale, the elder sister of Diana, Princess of Wales.
  • E. Elizabeth
    Elizabeth is the given name of Elizabeth Marie Tall Chief, the pioneering Native American prima ballerina.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb604f88081908a677175045496d0 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64ec72bc819085fa2c21487f297e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:28 a.m.