Triple

T1101740
Position Surface form Disambiguated ID Type / Status
Subject David Herold E24394 entity
Predicate coConspiratorWith P21638 FINISHED
Object Edman Spangler E99444 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: Edman Spangler | Statement: [David Herold, coConspiratorWith, Edman Spangler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edman Spangler
Context triple: [David Herold, coConspiratorWith, Edman Spangler]
  • A. Edman Spangler chosen
    Edman Spangler was a stagehand at Ford's Theatre who was implicated and later convicted as a minor conspirator in the assassination of President Abraham Lincoln.
  • B. Johnston McCulley
    Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
  • C. A. H. Johnson
    A. H. Johnson was one of the climbers credited with making the first recorded ascent of Mount Whitney, the highest peak in the contiguous United States.
  • D. Milo Arthur Johnson
    Milo Arthur Johnson is one of the children of former UK Prime Minister Boris Johnson, known primarily for his private life away from the public spotlight.
  • E. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb74b0908190be51a7141e661d3e completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5bc6348190a0d23fe269707e1b completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:43 p.m.