Triple

T12998247
Position Surface form Disambiguated ID Type / Status
Subject Open House E322098 entity
Predicate featuresCharacter P626 FINISHED
Object Nora Montgomery E327881 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: Nora Montgomery | Statement: [Open House, featuresCharacter, Nora Montgomery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Montgomery
Context triple: [Open House, featuresCharacter, Nora Montgomery]
  • A. Nora Montgomery chosen
    Nora Montgomery is a tragic, ghostly character from the television series "American Horror Story: Murder House," known for her role as a grief-stricken 1920s socialite and wife of mad surgeon Charles Montgomery.
  • B. Nora Hayden
    Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
  • C. Helen Montgomery
    Helen Montgomery is a science fiction fan and convention organizer known for her editorial work on the fanzine Journey Planet.
  • D. Nora Daley
    Nora Daley is the daughter of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley, known for her involvement in civic and cultural activities in the city.
  • E. Nora Payne
    Nora Payne is a songwriter best known for co-writing the song "What About Us?".
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7b268c8190b8bb855e9de23c3b completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265d09d881909c21423d93af39cd completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 8:46 p.m.