Triple

T29920861
Position Surface form Disambiguated ID Type / Status
Subject Eddie Albert as Capt. Erskine Cooney E759927 entity
Predicate settingOfCharacterActions P96983 FINISHED
Object European Theater of World War II 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: European Theater of World War II | Statement: [Eddie Albert as Capt. Erskine Cooney, settingOfCharacterActions, European Theater of World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfCharacterActions
Context triple: [Eddie Albert as Capt. Erskine Cooney, settingOfCharacterActions, European Theater of World War II]
  • A. settingOfCharacterLife
    Indicates the primary environment or context in which a character’s life and experiences take place.
  • B. settingOfRole chosen
    Indicates the context, environment, or situation in which a particular role is performed or holds relevance.
  • C. characterSetting
    Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
  • D. protagonistAction
    Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
  • E. dynamicCharacter
    Indicates that a character undergoes significant internal change or development over the course of a narrative.
  • F. None of above.

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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 29, 2026, 6:14 p.m.