Triple

T7234438
Position Surface form Disambiguated ID Type / Status
Subject E. Howard Hunt E155185 entity
Predicate usedPseudonym P3799 FINISHED
Object David St. John E155185 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: David St. John | Statement: [E. Howard Hunt, usedPseudonym, David St. John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David St. John
Context triple: [E. Howard Hunt, usedPseudonym, David St. John]
  • A. David St. John chosen
    David St. John is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • B. Al St. John
    Al St. John was an American silent film comedian and actor best known for his slapstick work in early comedies and later as a comic sidekick in Western films.
  • C. Edward LeSaint
    Edward LeSaint was an American actor and film director active during the silent and early sound eras, appearing in and directing numerous films in the early 20th century.
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Stewart St. John
    Stewart St. John is a television and film writer-producer known for creating and producing genre and drama series, as well as for his work in audio storytelling and digital media.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea130e5c819087f74883760fe327 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2d96588190bcf150cbfe4d015c completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.