Triple

T34288569
Position Surface form Disambiguated ID Type / Status
Subject Houris E879812 entity
Predicate physicalDescriptionInSources P62520 FINISHED
Object large beautiful eyes 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: large beautiful eyes | Statement: [Houris, physicalDescriptionInSources, large beautiful eyes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: physicalDescriptionInSources
Context triple: [Houris, physicalDescriptionInSources, large beautiful eyes]
  • A. describesAppearanceOf
    Indicates that one entity provides information about the visual characteristics or outward look of another entity.
  • B. physicalCharacteristics chosen
    Indicates that one entity has or describes the bodily or material attributes, features, or appearance of another entity.
  • C. describedFrom
    Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
  • D. physicalBasis
    Indicates that one entity serves as the underlying physical foundation, mechanism, or substrate that gives rise to or supports the properties, behavior, or existence of another entity.
  • E. surfaceDescription
    Indicates that one entity provides a textual or qualitative description of the surface characteristics or appearance 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_69f349b6df1c81908e5e5b6c2ab6409b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f717836f0c8190b4a397bbac37dd09 completed May 3, 2026, 9:38 a.m.
PD Predicate disambiguation batch_69f7127a2ff08190b77d00963c9df621 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:57 a.m.