Triple

T22884240
Position Surface form Disambiguated ID Type / Status
Subject Dan Blocker E567559 entity
Predicate birthName P65 FINISHED
Object Bobby Dan Davis Blocker 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: Bobby Dan Davis Blocker | Statement: [Dan Blocker, birthName, Bobby Dan Davis Blocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Dan Davis Blocker
Context triple: [Dan Blocker, birthName, Bobby Dan Davis Blocker]
  • A. Bobby Dan Davis Blocker chosen
    Bobby Dan Davis Blocker, better known as Dan Blocker, was an American actor most famous for his role as Hoss Cartwright on the long-running television western series "Bonanza."
  • B. Bobby Morrow
    Bobby Morrow was an American sprinter and three-time Olympic gold medalist renowned for dominating the 100m and 200m events in the mid-1950s.
  • C. Bobby Dyer
    Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
  • D. Bobby Davis
    Bobby Davis is a fictional character from the comedy film "Wild Hogs," which follows a group of middle-aged friends on a chaotic motorcycle road trip.
  • E. Bobby Carpenter
    Bobby Carpenter is a former American professional ice hockey forward who played in the NHL and was one of the first U.S.-born players to score 50 goals in a season.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.