Triple

T16229038
Position Surface form Disambiguated ID Type / Status
Subject 88 Minutes E393930 entity
Predicate starring P1507 FINISHED
Object Deborah Kara Unger 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: Deborah Kara Unger | Statement: [88 Minutes, starring, Deborah Kara Unger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deborah Kara Unger
Context triple: [88 Minutes, starring, Deborah Kara Unger]
  • A. Deborah Kara Unger chosen
    Deborah Kara Unger is a Canadian actress known for her intense, often edgy performances in films such as "Crash," "The Game," and "Silent Hill."
  • B. Deborah Pines
    Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
  • C. Deborah Waxman
    Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
  • D. Deborah Oppenheimer
    Deborah Oppenheimer is an American television producer best known for her work on popular sitcoms and for winning an Academy Award for the documentary "Into the Arms of Strangers: Stories of the Kindertransport."
  • E. Deborah Schaeffer
    Deborah Schaeffer is one of the children of Christian author and L'Abri co-founder Edith Schaeffer.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:03 a.m.