Triple

T26703287
Position Surface form Disambiguated ID Type / Status
Subject Clara McMillen (Kinsey) E673216 entity
Predicate settingOfCharacterLife P164479 FINISHED
Object early to mid-20th century United States LITERAL 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: early to mid-20th century United States | Statement: [Clara McMillen (Kinsey), settingOfCharacterLife, early to mid-20th century United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfCharacterLife
Context triple: [Clara McMillen (Kinsey), settingOfCharacterLife, early to mid-20th century United States]
  • A. settingOfFictionalLife
    Indicates that a particular place or environment serves as the primary backdrop or context in which a fictional character’s life and experiences occur.
  • B. characterSetting
    Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
  • C. settingOfDeath
    Indicates the specific place or environment in which an entity’s death occurred.
  • D. storySettingPhaseOfLife
    Indicates the phase of life (e.g., childhood, adolescence, adulthood) during which the story is set or primarily takes place.
  • E. settingOfLifeEvents
    Indicates the location or environment in which significant life events of an entity take place.
  • F. None of above. chosen

Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f64e6e8c9081908ce4d364aa26147a completed May 2, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
PDg Predicate description generation batch_69f64db8ee1881909362701d72ffe282 completed May 2, 2026, 7:17 p.m.
Created at: April 27, 2026, 3:32 a.m.