Triple

T5174894
Position Surface form Disambiguated ID Type / Status
Subject Zhizhong E116772 entity
Predicate hasRomanizationVariant P2508 FINISHED
Object Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
E503184 NE FINISHED

How this triple was built (5 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: Zhihong | Statement: [Zhizhong, hasRomanizationVariant, Zhihong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhihong
Context triple: [Zhizhong, hasRomanizationVariant, Zhihong]
  • A. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. He Zhihua
    He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Zhihong
Triple: [Zhizhong, hasRomanizationVariant, Zhihong]
Generated description
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhihong
Target entity description: Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • A. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. He Zhihua
    He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in China.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanizationVariant
Context triple: [Zhizhong, hasRomanizationVariant, Zhihong]
  • A. hasRomanizationOf chosen
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasRomanizationStandard
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • C. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • D. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • E. hasVariantReadingsWith
    Indicates a relationship where two textual items are linked because they exhibit differing or alternative readings of (typically) the same underlying content.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefb2464081909ee9f05788ef5c30 completed March 21, 2026, 7:21 p.m.
NEDg Description generation batch_69bef05ed6188190a86ec2a3bebd21dc completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef0e41b508190baca5e15efb65ee9 completed March 21, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69bd77b529948190b86671ebe43f4734 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.