Triple

T21444341
Position Surface form Disambiguated ID Type / Status
Subject The Portent E529029 entity
Predicate subject P450 FINISHED
Object John Brown NE NERFINISHED

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: John Brown | Statement: [The Portent, subject, John Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Brown
Context triple: [The Portent, subject, John Brown]
  • A. John Brown chosen
    John Brown was a 19th-century American abolitionist who led militant anti-slavery actions, most famously the 1859 raid on Harpers Ferry.
  • B. John Brown
    John Brown was an American statesman from Kentucky who served as one of the state’s first U.S. senators and played a key role in its early political development.
  • C. John Brown
    John Brown was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • D. John Brown
    "John Brown" is an anti-war protest song by Bob Dylan that critiques the glorification of military service and the brutal realities of war.
  • E. John Brown of Priesthill
    John Brown of Priesthill was a Covenanter farmer in 17th-century Scotland who became a well-known martyr after being executed for his Presbyterian faith during the period of persecution known as the Killing Times.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b70630ac8190b031e31ffa2c358e completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.