Triple

T29258193
Position Surface form Disambiguated ID Type / Status
Subject 後周 E741761 entity
Predicate majorReformer P48432 FINISHED
Object 柴榮
柴榮 was the second emperor of Later Zhou during China’s Five Dynasties period, known for his capable rule, military successes, and significant reforms that strengthened the state and paved the way for the Song dynasty’s unification.
 E1859646 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: 柴榮 | Statement: [後周, majorReformer, 柴榮]
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: 柴榮
Triple: [後周, majorReformer, 柴榮]
Generated description
柴榮 was the second emperor of Later Zhou during China’s Five Dynasties period, known for his capable rule, military successes, and significant reforms that strengthened the state and paved the way for the Song dynasty’s unification.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: majorReformer
Context triple: [後周, majorReformer, 柴榮]
  • A. reformerOf chosen
    Indicates that one entity is the person or agent who initiated or carried out significant reforms or changes to another entity.
  • B. notableReformerOpposition
    Indicates that a notable reformer actively opposed, resisted, or campaigned against the referenced person, group, policy, or institution.
  • C. subjectToReformBy
    Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
  • D. majorRepresentative
    Indicates that one entity serves as the primary or main representative of another entity.
  • E. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • 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_69f0912065c08190bddd23e20e8ef18e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fda5003cdc8190a558501271389912 completed May 8, 2026, 8:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25892dea9081909bae356c126e5079 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258fccd5d881909f451df087e6a5ce completed June 7, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a25938707b48190b20b4c7ad7f46628 completed June 7, 2026, 3:51 p.m.
PD Predicate disambiguation batch_69fda05bfc2c819096821a5300e9bb24 completed May 8, 2026, 8:35 a.m.
Created at: April 28, 2026, 12:39 p.m.