Triple

T2651682
Position Surface form Disambiguated ID Type / Status
Subject Phillip Stryver E53912 entity
Predicate worksWith P398 FINISHED
Object John Daggett E525819 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: John Daggett | Statement: [Phillip Stryver, worksWith, John Daggett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Daggett
Context triple: [Phillip Stryver, worksWith, John Daggett]
  • A. John Daggett chosen
    John Daggett is a wealthy and unscrupulous Gotham City businessman from the Batman universe, notably appearing as a corporate antagonist in "The Dark Knight Rises."
  • B. David Daggett
    David Daggett was an American lawyer, judge, and politician from Connecticut who co-founded Yale Law School and served as a U.S. senator and chief justice of the Connecticut Supreme Court.
  • C. George Davenport
    George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
  • D. Calvin DeWitt
    Calvin DeWitt is a notable individual distinguished enough to be recognized as a prominent bearer of the De Witt surname.
  • E. Milton Van Dyke
    Milton Van Dyke was an influential American fluid dynamicist and author known for his classic works on aerodynamics and fluid mechanics, including the widely used reference "An Album of Fluid Motion."
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1b5c0e081909c9a923eef50018c completed March 22, 2026, 8 a.m.
Created at: March 6, 2026, 9:53 p.m.