Triple

T3962391
Position Surface form Disambiguated ID Type / Status
Subject Lord Lieutenant of Middlesex E85934 entity
Predicate appointedBy P257 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: [Lord Lieutenant of Middlesex, appointedBy, Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crown
Context triple: [Lord Lieutenant of Middlesex, appointedBy, Crown]
  • A. 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.
  • B. Crown chosen
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • C. White Crown
    The White Crown was the ancient Egyptian royal headdress symbolizing the kingship of Upper Egypt before and after its unification with Lower Egypt.
  • D. Royal Crown
    The Royal Crown is a traditional symbol of monarchy and sovereign authority, often used in heraldry to represent the reigning monarch’s power and legitimacy.
  • E. Red Crown
    The Red Crown is the ancient Egyptian royal headdress symbolizing the authority and sovereignty of the ruler of Lower Egypt.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9617adc8190874b97a612fa7c72 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b8e00c819093af24f27eee793b completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.