Triple

T10091023
Position Surface form Disambiguated ID Type / Status
Subject Bonanza E215343 entity
Predicate leadActor P1507 FINISHED
Object Dan Blocker E226059 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: Dan Blocker | Statement: [Bonanza, leadActor, Dan Blocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Blocker
Context triple: [Bonanza, leadActor, Dan Blocker]
  • A. Dan Blocker chosen
    Dan Blocker was an American actor best known for his role as the gentle giant Hoss Cartwright on the classic television Western series "Bonanza."
  • B. Ray Graves
    Ray Graves was a prominent American college football coach best known for leading the University of Florida Gators during the 1960s and elevating the program’s national profile.
  • C. Gary Busey
    Gary Busey is an American actor known for his intense, often eccentric performances in films such as "The Buddy Holly Story," for which he received an Academy Award nomination.
  • D. Dax Riggs
    Dax Riggs is an American singer-songwriter and musician known for his dark, blues-infused rock and metal work, particularly as the frontman of the band Acid Bath.
  • E. David Blocker
    David Blocker is an American film producer known for his work on both independent and studio films, including the Emmy-winning TV movie "Don King: Only in America."
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05aa02081908fba02e7085c6d7c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.