Triple

T23109009
Position Surface form Disambiguated ID Type / Status
Subject Tang Shengzhi E576262 entity
Predicate givenNameRomanization P150645 FINISHED
Object Shengzhi NE NERFINISHED

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: Shengzhi | Statement: [Tang Shengzhi, givenNameRomanization, Shengzhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shengzhi
Context triple: [Tang Shengzhi, givenNameRomanization, Shengzhi]
  • A. Shengzhi chosen
    Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
  • B. Shizhen
    Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
  • C. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • D. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • E. Ziqing
    Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givenNameRomanization
Context triple: [Tang Shengzhi, givenNameRomanization, Shengzhi]
  • A. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. officialNameInRomaji
    Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
  • C. hangulNameRomanized
    Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
  • D. romanizationVariantOf
    Indicates that one written form is a different romanized representation of the same underlying word or expression as another.
  • E. romanizedUnder chosen
    Indicates that one written form is a romanized representation (using the Latin alphabet) of another form written in a different script.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69ef89f020588190b43393e048e7eda3 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:58 p.m.