Triple

T15330150
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate starring P1507 FINISHED
Object Kimiko Glenn E390838 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: Kimiko Glenn | Statement: [Like Father, starring, Kimiko Glenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimiko Glenn
Context triple: [Like Father, starring, Kimiko Glenn]
  • A. Kimiko Glenn chosen
    Kimiko Glenn is an American actress and singer known for her roles in "Orange Is the New Black," various stage productions, and voice work in animated films and series.
  • B. Celeste Van Dien
    Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
  • C. Robin Ruzan
    Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
  • D. Kathrine Narducci
    Kathrine Narducci is an American actress best known for her roles in Italian-American crime dramas, including prominent parts in films and television series such as The Sopranos.
  • E. Stephanie Zinone
    Stephanie Zinone is the rebellious, motorcycle-loving leader of the Pink Ladies in the musical film "Grease 2."
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cea6bb88190a6d6f7c55daa4677 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:17 a.m.