Triple

T23017629
Position Surface form Disambiguated ID Type / Status
Subject Dracula’s Daughter E573074 entity
Predicate leadActor P1507 FINISHED
Object Gloria Holden 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: Gloria Holden | Statement: [Dracula’s Daughter, leadActor, Gloria Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Holden
Context triple: [Dracula’s Daughter, leadActor, Gloria Holden]
  • A. Gloria Holden chosen
    Gloria Holden was a British-born American actress best known for her roles in classic Hollywood films of the 1930s and 1940s, particularly in horror and drama genres.
  • B. Gloria Connors
    Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
  • C. Gloria Loomis
    Gloria Loomis is a literary agent and the wife of the late American screenwriter Walter Bernstein.
  • D. Gloria Foster
    Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
  • E. Gloria Millington
    Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e64a4c8190b8d29ed638c7fef8 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.