Triple

T33674352
Position Surface form Disambiguated ID Type / Status
Subject Emperor Huizhao Xiaode E862717 entity
Predicate linkedRulerPersonalName P166781 FINISHED
Object Li Chan
Li Chan was the personal name of Emperor Huizhao Xiaode, a Chinese monarch of the Tang dynasty.
E2060967 NE FINISHED

How this triple was built (3 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: Li Chan | Statement: [Emperor Huizhao Xiaode, linkedRulerPersonalName, Li Chan]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Li Chan
Triple: [Emperor Huizhao Xiaode, linkedRulerPersonalName, Li Chan]
Generated description
Li Chan was the personal name of Emperor Huizhao Xiaode, a Chinese monarch of the Tang dynasty.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedRulerPersonalName
Context triple: [Emperor Huizhao Xiaode, linkedRulerPersonalName, Li Chan]
  • A. namedPersonAssociation
    Indicates a relationship where one entity is associated with or identified by a specific personal name.
  • B. namedForPersonFullName
    Indicates that an entity is named after a specific person, identified by that person’s full name.
  • C. personalUnionResult
    Indicates that a personal union between entities has occurred and specifies the resulting combined political or dynastic arrangement.
  • D. notableFamilyNameOf
    Indicates that a particular family name is notably or prominently associated with a given person or family entity.
  • E. lastRulerPersonalName chosen
    Indicates the personal name of the most recent or final ruler associated with an entity.
  • F. None of above.

Provenance (6 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_69f34985885c8190914322f492e04703 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fddd373cdc8190be1b12e70e4deb1f completed May 8, 2026, 12:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a362733a6688190acc4c1481d1c78f8 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a3627f2a8088190a8b1e697c21201e3 completed June 20, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a362893f3c0819084b6a482a0287a3e completed June 20, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69fddc6915a88190ad41e379aa3ede13 completed May 8, 2026, 12:51 p.m.
Created at: May 1, 2026, 1:43 a.m.