Triple

T15546832
Position Surface form Disambiguated ID Type / Status
Subject James Sikking E370629 entity
Predicate role P268 FINISHED
Object Dr. David Howser E1071795 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: Dr. David Howser | Statement: [James Sikking, role, Dr. David Howser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. David Howser
Context triple: [James Sikking, role, Dr. David Howser]
  • A. Dr. David Howser chosen
    Dr. David Howser is the fictional teen prodigy physician known as Doogie Howser from the television series "Doogie Howser, M.D."
  • B. Dr. Rudy Wells
    Dr. Rudy Wells is the scientist and physician in "The Bionic Woman" who develops and maintains the advanced cybernetic technology that powers the series’ bionic protagonists.
  • C. Dr. Perry Cox
    Dr. Perry Cox is a sarcastic, tough-love attending physician and mentor character from the medical comedy series "Scrubs."
  • D. Dr. Davison M. Geiger
    Dr. Davison M. Geiger was a prominent local physician and early Nevada pioneer after whom the historic Geiger Grade mountain road near Reno is named.
  • E. Dr. Myron MacLain
    Dr. Myron MacLain is a fictional Marvel Comics scientist best known for developing the near-indestructible alloy used in Captain America’s shield.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.