Triple

T9392621
Position Surface form Disambiguated ID Type / Status
Subject Dan Blocker E226059 entity
Predicate spouse P13 FINISHED
Object Dolphia Parker Blocker E567563 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: Dolphia Parker Blocker | Statement: [Dan Blocker, spouse, Dolphia Parker Blocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolphia Parker Blocker
Context triple: [Dan Blocker, spouse, Dolphia Parker Blocker]
  • A. Dolphia Parker Blocker chosen
    Dolphia Parker Blocker is the wife of late actor Dan Blocker and the mother of actor Dirk Blocker.
  • B. Viollette Menefee
    Viollette Menefee is known as the wife of American sportscaster and Fox NFL Sunday host Curt Menefee.
  • C. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • D. Barboura Morris
    Barboura Morris was an American actress best known for her roles in several 1950s and 1960s low-budget and cult films, particularly those produced by American International Pictures.
  • E. Arvilla Knight
    Arvilla Knight was the wife of California Governor Goodwin Knight and served as the state's First Lady during his administration.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510fec6481908b51c497744068c8 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10108cd0c8190a38ee2325d3475ce completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.