Triple

T950705
Position Surface form Disambiguated ID Type / Status
Subject Duke of Lancaster E20513 entity
Predicate mergedInto P77 FINISHED
Object Crown E1996 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: Crown | Statement: [Duke of Lancaster, mergedInto, Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crown
Context triple: [Duke of Lancaster, mergedInto, Crown]
  • A. Crown chosen
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • B. Crown
    Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
  • C. Red Crown
    The Red Crown is the ancient Egyptian royal headdress symbolizing the authority and sovereignty of the ruler of Lower Egypt.
  • D. Blues and Royals
    The Blues and Royals is a prestigious British Army cavalry regiment of the Household Division, known for both ceremonial duties and armoured reconnaissance roles.
  • E. King of Diamonds
    King of Diamonds is the nickname of Charles L. Tiffany, the famed American jeweler who founded Tiffany & Co. and became renowned for his influence on the diamond and luxury jewelry trade.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d62e408190855b2883407f6c6b completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16fdd37c81909262c1cc271cdd21 completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:40 p.m.