Triple

T19176078
Position Surface form Disambiguated ID Type / Status
Subject Jok E469439 entity
Predicate mayFunctionAs P14773 FINISHED
Object given name nickname 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: given name nickname | Statement: [Jok, mayFunctionAs, given name nickname]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayFunctionAs
Context triple: [Jok, mayFunctionAs, given name nickname]
  • A. possibleFunction chosen
    Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
  • B. mayActThrough
    Indicates that an entity can exert influence, perform an action, or have an effect by means of another entity, mechanism, or intermediary.
  • C. mayAlsoBeCalled
    Indicates that one entity can alternatively be referred to by another name or label.
  • D. mayCast
    Indicates that an entity has the permission or ability to perform a casting action on another entity or resource.
  • E. mayPass
    Indicates that one entity is permitted or authorized to move through, cross, or gain access to another entity or location.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6181f0c8190b344072db0b7abbb completed April 20, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69e4b9bb158481909478ca2e06f3ba39 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.