Triple

T12156997
Position Surface form Disambiguated ID Type / Status
Subject Kate Bosworth E289598 entity
Predicate hasHeterochromia P51923 FINISHED
Object one blue eye and one hazel eye 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: one blue eye and one hazel eye | Statement: [Kate Bosworth, hasHeterochromia, one blue eye and one hazel eye]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHeterochromia
Context triple: [Kate Bosworth, hasHeterochromia, one blue eye and one hazel eye]
  • A. hasEyeColor
    Indicates that an entity possesses eyes of a specified color.
  • B. eyeType
    Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
  • C. eyeCharacteristic chosen
    Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
  • D. hasEyes
    Indicates that an entity possesses eyes as physical features.
  • E. hasPhysicalFeature
    Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.