Triple

T3870047
Position Surface form Disambiguated ID Type / Status
Subject Watson E91959 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Watson E156767 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: Mark Watson | Statement: [Watson, hasNotableBearer, Mark Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Watson
Context triple: [Watson, hasNotableBearer, Mark Watson]
  • A. Mark Watson chosen
    Mark Watson is an American economist known for his influential work on macroeconomic fluctuations and coining the term "Great Moderation" to describe the period of reduced volatility in economic output and inflation.
  • B. Ian Watson
    Ian Watson is a British science fiction author known for his intellectually challenging novels and short stories that often explore complex philosophical and speculative ideas.
  • C. Ben Watkins
    Ben Watkins is a television writer and producer best known for creating the series "Hand of God."
  • D. Andrew Robinson
    Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
  • E. Don Matthews
    Don Matthews was a highly successful and influential Canadian Football League head coach, renowned for leading multiple teams to Grey Cup championships.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.