Triple

T4019450
Position Surface form Disambiguated ID Type / Status
Subject Zhan E91243 entity
Predicate hasAlternativeRomanization P5923 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: [Zhan, hasAlternativeRomanization, Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chan
Context triple: [Zhan, hasAlternativeRomanization, Chan]
  • A. Chan chosen
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • C. 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.
  • D. 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.
  • E. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • 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: hasAlternativeRomanization
Context triple: [Zhan, hasAlternativeRomanization, Chan]
  • A. hasRomanizationOf
    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. hasAlternativeVocalization
    Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
  • D. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • E. alternativeTransliteration chosen
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaab39d4819080e37cd175c89542 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7cb0ec8190b7e4646a934ddb07 completed March 14, 2026, 11:54 a.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.