Triple

T32147874
Position Surface form Disambiguated ID Type / Status
Subject Xu Guangping E821069 entity
Predicate roleInRelationshipWithLuXun P29936 FINISHED
Object literary collaborator 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: literary collaborator | Statement: [Xu Guangping, roleInRelationshipWithLuXun, literary collaborator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInRelationshipWithLuXun
Context triple: [Xu Guangping, roleInRelationshipWithLuXun, literary collaborator]
  • A. relationshipToConfucius
    Indicates the specific familial, social, or philosophical connection that one entity has to Confucius.
  • B. relationshipToAlexanderPushkin
    Indicates the specific familial, social, or professional connection that one entity has to Alexander Pushkin.
  • C. roleInShu
    Indicates that an entity holds or plays a specific role within the context of Shu (e.g., the state, domain, or system referred to as Shu).
  • D. hasLiteraryConnection chosen
    Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
  • E. relationToRabindranathTagore
    Indicates a specified type of relationship or association that an entity has with Rabindranath Tagore.
  • 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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a000a1d8fa88190a1d82ac746565c48 completed May 10, 2026, 4:31 a.m.
PD Predicate disambiguation batch_6a0008b26eb88190ae03b2309a614774 completed May 10, 2026, 4:25 a.m.
Created at: May 1, 2026, 12:31 a.m.