Triple

T22884366
Position Surface form Disambiguated ID Type / Status
Subject Dolphia Parker Blocker E567563 entity
Predicate child P120 FINISHED
Object Dirk 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: Dirk Blocker | Statement: [Dolphia Parker Blocker, child, Dirk Blocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirk Blocker
Context triple: [Dolphia Parker Blocker, child, Dirk Blocker]
  • A. Dirk Blocker chosen
    Dirk Blocker is an American actor best known for his role as the lovable, dim-witted Detective Michael Hitchcock on the television sitcom "Brooklyn Nine-Nine."
  • B. 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."
  • C. Dirk Burton
    Dirk Burton is the central protagonist of the science fiction novel "All of Us," around whom the story’s main events and character dynamics revolve.
  • D. Harlon Block
    Harlon Block was a United States Marine and one of the flag raisers at Iwo Jima during World War II, later depicted in the book and film "Flags of Our Fathers."
  • E. Michael Dilbeck
    Michael Dilbeck is a film producer best known for his work on the comedy movie "Meet Wally Sparks."
  • 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.