Triple

T25993360
Position Surface form Disambiguated ID Type / Status
Subject Dragan Dabić E646418 entity
Predicate usedAppearanceChange P169903 FINISHED
Object long beard 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: long beard | Statement: [Dragan Dabić, usedAppearanceChange, long beard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAppearanceChange
Context triple: [Dragan Dabić, usedAppearanceChange, long beard]
  • A. publicAppearance
    Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
  • B. typicalColorChange
    Indicates a characteristic or commonly observed change in color that an entity undergoes under normal or expected conditions.
  • C. adaptationAppearance
    Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
  • D. remakeAppearance
    Indicates that one entity creates a new version or updated form of another entity’s appearance.
  • E. usedStyle
    Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
  • 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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f688d015908190ad5df37030ecf332 completed May 2, 2026, 11:29 p.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f688034580819086a0f9100645f8ba completed May 2, 2026, 11:25 p.m.
Created at: April 22, 2026, 8:57 a.m.