Triple

T14397695
Position Surface form Disambiguated ID Type / Status
Subject The Bedroom Window E356991 entity
Predicate starredActor P5563 FINISHED
Object Elizabeth McGovern E476113 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: Elizabeth McGovern | Statement: [The Bedroom Window, starredActor, Elizabeth McGovern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth McGovern
Context triple: [The Bedroom Window, starredActor, Elizabeth McGovern]
  • A. Elizabeth McGovern chosen
    Elizabeth McGovern is an American actress and musician best known for her roles in films like "Ragtime" and the television series "Downton Abbey."
  • B. Elizabeth Berkley
    Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
  • C. Laura Kugler
    Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
  • D. Dana Delany
    Dana Delany is an American actress best known for her acclaimed work in television dramas such as "China Beach," for which she earned multiple Primetime Emmy Awards.
  • E. Nicollette Sheridan
    Nicollette Sheridan is a British-American actress best known for her roles on the television series "Knots Landing" and "Desperate Housewives."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a36382481909a39ba5e51084051 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:17 a.m.