Triple

T20241963
Position Surface form Disambiguated ID Type / Status
Subject Dr. Quinn, Medicine Woman E498317 entity
Predicate starring P1507 FINISHED
Object Frank Collison 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: Frank Collison | Statement: [Dr. Quinn, Medicine Woman, starring, Frank Collison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Collison
Context triple: [Dr. Quinn, Medicine Woman, starring, Frank Collison]
  • A. Frank Collison chosen
    Frank Collison is an American character actor known for his numerous supporting roles in film and television, including appearances in comedies and dramas.
  • B. Colin Livingston
    Colin Livingston is an individual associated with Asia, likely known for professional or organizational involvement connected to the region.
  • C. Hugh McDevitt
    Hugh McDevitt is an immunologist renowned for his pioneering work on the genetic control of the immune response and the role of major histocompatibility complex (MHC) molecules in disease susceptibility.
  • D. Joe Matheson
    Joe Matheson is a retired black-ops CIA agent drawn back into action in the action-comedy film "RED."
  • E. George Collier
    George Collier was a British Royal Navy officer best known for leading the naval forces that helped defeat the American-led Penobscot Expedition during the American Revolutionary War.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716f9d248190a145f6883827ebbe completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.