Triple

T1085373
Position Surface form Disambiguated ID Type / Status
Subject Red Crown E24037 entity
Predicate contrastedWith P278 FINISHED
Object White Crown E125016 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: White Crown | Statement: [Red Crown, contrastedWith, White Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Crown
Context triple: [Red Crown, contrastedWith, White Crown]
  • A. White Crown chosen
    The White Crown was the ancient Egyptian royal headdress symbolizing the kingship of Upper Egypt before and after its unification with Lower Egypt.
  • B. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • C. 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.
  • D. Red Crown
    The Red Crown is the ancient Egyptian royal headdress symbolizing the authority and sovereignty of the ruler of Lower Egypt.
  • E. Her Majesty
    Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b961d0cc8190858296b44fab2f32 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c243cbc81908d6101faad628fc8 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.