Triple

T15975916
Position Surface form Disambiguated ID Type / Status
Subject Bill Henrickson E387443 entity
Predicate createdBy P806 FINISHED
Object Mark V. Olsen 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: Mark V. Olsen | Statement: [Bill Henrickson, createdBy, Mark V. Olsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark V. Olsen
Context triple: [Bill Henrickson, createdBy, Mark V. Olsen]
  • A. Mark V. Olsen chosen
    Mark V. Olsen is an American television writer and producer best known as the co-creator of the HBO drama series "Big Love."
  • B. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • C. Daniel C. Woods
    Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
  • D. Brian L. Hinman
    Brian L. Hinman is an American technology entrepreneur and executive best known for co-founding multiple communications companies, including Polycom, and pioneering advances in voice and video conferencing.
  • E. Robert B. Weide
    Robert B. Weide is an American film and television director, producer, and screenwriter best known for his work on the HBO series "Curb Your Enthusiasm" and various documentaries about comedians.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575166d081909c5275c235c8ce0f completed April 16, 2026, 9:40 p.m.
Created at: April 10, 2026, 4:54 a.m.