Triple

T5381943
Position Surface form Disambiguated ID Type / Status
Subject Chen E113104 entity
Predicate hasCantoneseForm P58276 FINISHED
Object Chan E14920 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: Chan | Statement: [Chen, hasCantoneseForm, Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chan
Context triple: [Chen, hasCantoneseForm, Chan]
  • A. Chan chosen
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Cho
    Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • C. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • D. Chang
    Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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: hasCantoneseForm
Context triple: [Chen, hasCantoneseForm, Chan]
  • A. cantoneseForm chosen
    Indicates that one entity is the Cantonese-language form or representation of another entity.
  • B. cantoneseYaleForm
    Indicates the written form of a term using the Yale romanization system for Cantonese pronunciation.
  • C. hasChineseVersion
    Indicates that an entity has a corresponding version or representation available in Chinese.
  • D. cantoneseJyutping
    Indicates that an entity’s name or term is represented using the Cantonese Jyutping romanization system.
  • E. hasTraditionalCharacter
    Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
  • F. None of above.

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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd88801b188190b9ac35ed89167fa3 completed March 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf335661c8819091058a5275b95284 completed March 22, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69bd846172788190969f24bc7503c05e completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:03 p.m.