Triple

T14713215
Position Surface form Disambiguated ID Type / Status
Subject Nightwood E345604 entity
Predicate mainCharacter P1183 FINISHED
Object Nora Flood E1116276 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 Flood | Statement: [Nightwood, mainCharacter, Nora Flood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Flood
Context triple: [Nightwood, mainCharacter, Nora Flood]
  • A. Nora Flood chosen
    Nora Flood is a central, emotionally tormented protagonist in Djuna Barnes’s modernist novel "Nightwood," often noted for embodying themes of desire, loss, and existential dislocation.
  • 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. 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.
  • D. Nora Montgomery
    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.
  • E. Nora
    Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb845de08190b933d90809cde830 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.