Triple

T28294583
Position Surface form Disambiguated ID Type / Status
Subject Shizhen E713524 entity
Predicate associatedPersonNotability P203116 FINISHED
Object renowned Ming dynasty physician 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: renowned Ming dynasty physician | Statement: [Shizhen, associatedPersonNotability, renowned Ming dynasty physician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedPersonNotability
Context triple: [Shizhen, associatedPersonNotability, renowned Ming dynasty physician]
  • A. hasNearbyNotablePersonAssociation
    Indicates a relationship where an entity is associated with a notable person who is located nearby or in close geographic proximity.
  • B. associatedPersonField
    Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
  • C. sharesNotableAssociationWith
    Indicates a mutual, noteworthy connection or linkage between two entities that is significant enough to be recognized or highlighted.
  • D. namedPersonAssociation
    Indicates a relationship where one entity is associated with or identified by a specific personal name.
  • E. hasNotablePersonConnection
    Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
  • 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_69efb524ab688190a1ce7ee7c9520932 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_6a0124a5d7848190a6b56d18db2f661d completed May 11, 2026, 12:36 a.m.
PD Predicate disambiguation batch_6a01243da1808190ada3ce553e3f55b6 completed May 11, 2026, 12:35 a.m.
PDg Predicate description generation batch_6a0124a538a08190b42e6f35d216da74 completed May 11, 2026, 12:36 a.m.
Created at: April 27, 2026, 11:31 p.m.