Triple

T23026038
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Baur E573315 entity
Predicate notableRole P22 FINISHED
Object Officer Fran Belding NE NERFINISHED

How this triple was built (3 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: Officer Fran Belding | Statement: [Elizabeth Baur, notableRole, Officer Fran Belding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Officer Fran Belding
Context triple: [Elizabeth Baur, notableRole, Officer Fran Belding]
  • A. Officer Dibble
    Officer Dibble is the long-suffering but good-hearted police officer who frequently tries to keep Top Cat and his alley gang in line in the classic animated television series.
  • B. Officer Diane Whittlesey
    Officer Diane Whittlesey is a central correctional officer character in the HBO prison drama series "Oz," known for her complex moral struggles and fraught relationships within the violent environment of the Oswald State Correctional Facility.
  • C. Officer Anderson
    Officer Anderson is a fictional law enforcement character played by actor Michael Biehn.
  • D. Officer Jim Kurring
    Officer Jim Kurring is a kind-hearted but insecure Los Angeles police officer and one of the central, emotionally driven characters in Paul Thomas Anderson’s film "Magnolia."
  • E. Officer Jay McPherson
    Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Officer Fran Belding
Target entity description: Officer Fran Belding is a fictional police officer character best known from the classic American TV crime drama series "Ironside."
  • A. Officer Dibble
    Officer Dibble is the long-suffering but good-hearted police officer who frequently tries to keep Top Cat and his alley gang in line in the classic animated television series.
  • B. Officer Diane Whittlesey
    Officer Diane Whittlesey is a central correctional officer character in the HBO prison drama series "Oz," known for her complex moral struggles and fraught relationships within the violent environment of the Oswald State Correctional Facility.
  • C. Officer Anderson
    Officer Anderson is a fictional law enforcement character played by actor Michael Biehn.
  • D. Officer Jim Kurring
    Officer Jim Kurring is a kind-hearted but insecure Los Angeles police officer and one of the central, emotionally driven characters in Paul Thomas Anderson’s film "Magnolia."
  • E. Officer Jay McPherson
    Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
  • F. None of above. chosen

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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847d7cb48190902169813c46a278 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.