Triple

T29824883
Position Surface form Disambiguated ID Type / Status
Subject Bannik E757351 entity
Predicate perceivedAppearance P311 FINISHED
Object small old man covered in steam or soot in some tales 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: small old man covered in steam or soot in some tales | Statement: [Bannik, perceivedAppearance, small old man covered in steam or soot in some tales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perceivedAppearance
Context triple: [Bannik, perceivedAppearance, small old man covered in steam or soot in some tales]
  • A. perceivedAttribute
    Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
  • B. appearance chosen
    Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
  • C. publicAppearance
    Indicates that an entity participates in or is present at an event or situation that is open or visible to the general public.
  • D. photographicAppearance
    Indicates that one entity visually appears in a photograph or photographic representation of another entity.
  • E. segmentAppearance
    Indicates how a particular segment is visually or perceptually presented or manifested.
  • 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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 5:31 p.m.