Triple

T14165902
Position Surface form Disambiguated ID Type / Status
Subject Ban Johnson E351072 entity
Predicate knownAs P39 FINISHED
Object Ban E351072 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: Ban | Statement: [Ban Johnson, knownAs, Ban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ban
Context triple: [Ban Johnson, knownAs, Ban]
  • A. Ban chosen
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • B. Ban
    Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
  • C. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • D. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • E. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b207cc8190b85b1ff0910b54da completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1 a.m.