Triple

T15620059
Position Surface form Disambiguated ID Type / Status
Subject Morgan County, Colorado E375526 entity
Predicate namedAfter P63 FINISHED
Object Christopher A. Morgan E989981 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: Christopher A. Morgan | Statement: [Morgan County, Colorado, namedAfter, Christopher A. Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher A. Morgan
Context triple: [Morgan County, Colorado, namedAfter, Christopher A. Morgan]
  • A. Christopher A. Morgan chosen
    Christopher A. Morgan was an early settler and prominent figure in Colorado’s history for whom the city of Fort Morgan was named.
  • B. Christopher Morgan
    Christopher Morgan is an American actor and producer best known as the husband of actress and director Kim Fields.
  • C. Christopher Murney
    Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
  • D. Tim Morgan
    Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
  • E. Jonathan Hackett
    Jonathan Hackett is an actor best known for his role in Lars von Trier’s acclaimed 1996 drama film "Breaking the Waves."
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875e49748190a2a4aceb649762b4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:13 a.m.