Triple

T8872243
Position Surface form Disambiguated ID Type / Status
Subject Kasidy Yates E211186 entity
Predicate portrayedBy P1507 FINISHED
Object Penny Johnson E673642 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: Penny Johnson | Statement: [Kasidy Yates, portrayedBy, Penny Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penny Johnson
Context triple: [Kasidy Yates, portrayedBy, Penny Johnson]
  • A. Penny Johnson chosen
    Penny Johnson is an American actress best known for her roles on television series such as "24," "Star Trek: Deep Space Nine," and "The Orville."
  • B. Penny Vick
    Penny Vick is known as the wife of William Calley, the former U.S. Army officer convicted for his role in the My Lai Massacre during the Vietnam War.
  • C. Peggy Johnson
    Peggy Johnson was the second wife of famed American automobile executive Lee Iacocca.
  • D. Penny Fleck
    Penny Fleck is Arthur Fleck’s mentally ill, delusional mother in the 2019 film "Joker," whose troubled past and neglectful parenting significantly shape his descent into madness.
  • E. Shelly Johnson
    Shelly Johnson is an American cinematographer known for his work on major feature films and television projects.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:52 p.m.