Triple

T27323710
Position Surface form Disambiguated ID Type / Status
Subject Shang Xiaoyun E689580 entity
Predicate peerWith P6215 FINISHED
Object Mei Lanfang NE NERFINISHED

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: Mei Lanfang | Statement: [Shang Xiaoyun, peerWith, Mei Lanfang]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peerWith
Context triple: [Shang Xiaoyun, peerWith, Mei Lanfang]
  • A. peerOf chosen
    Indicates that two entities hold equivalent or comparable status, role, or standing within the same context or system.
  • B. peerFestival
    Indicates that two festivals are considered peers, sharing a comparable status, scale, or role within a given context.
  • C. partnerInOrganizationWith
    Indicates that two entities are associated as partners within the same organization or organizational context.
  • D. partnerInRuleWith
    Indicates that two or more entities jointly participate as partners in establishing, enforcing, or being governed by the same rule or regulatory framework.
  • E. coMemberWith
    Indicates that two or more entities share membership in the same group, organization, or collective.
  • 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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627ec3fd081909153e7d281fd7214 completed May 2, 2026, 4:35 p.m.
PD Predicate disambiguation batch_69f620e4b1c88190a17940251abc68fd completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 11:34 a.m.