Triple

T7065237
Position Surface form Disambiguated ID Type / Status
Subject American Grown E164330 entity
Predicate publisher P29 FINISHED
Object Crown E14914 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: [American Grown, publisher, Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crown
Context triple: [American Grown, publisher, Crown]
  • A. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • B. Crown chosen
    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. Crown
    Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
  • D. 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.
  • E. 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.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888497b08190b1f2aa686e8e30c1 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:39 p.m.