Triple

T16704757
Position Surface form Disambiguated ID Type / Status
Subject Chan (surname 詹) E405939 entity
Predicate correspondsToSurnameCharacter P63661 FINISHED
Object E87686 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: 詹 | Statement: [Chan (surname 詹), correspondsToSurnameCharacter, 詹]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 詹
Context triple: [Chan (surname 詹), correspondsToSurnameCharacter, 詹]
  • A. chosen
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • B. Jianmin
    Jianmin is a Chinese given name commonly used for men and borne by various notable figures, including diplomats, politicians, and academics.
  • C. Zhu Jun
    Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
  • D. Zu Jia
    Zu Jia was a king of the Shang dynasty in ancient China, known for his reign following the influential ruler Wu Ding and for efforts to consolidate royal authority.
  • E.
    芝 is a district in Tokyo’s Minato Ward known for its mix of business areas, historic temples, and proximity to landmarks like Tokyo Tower.
  • 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: correspondsToSurnameCharacter
Context triple: [Chan (surname 詹), correspondsToSurnameCharacter, 詹]
  • A. characterCorrespondsTo
    Indicates that one character is equivalent to, maps onto, or represents another character in a defined correspondence or mapping.
  • B. correspondsToLatinLetter
    Indicates that one entity is the counterpart or representation of another entity as a specific letter in the Latin alphabet.
  • C. correspondsToChineseCharacter chosen
    Indicates that one entity is the equivalent or representation of a specific Chinese written character.
  • D. correspondsToEnglishLetter
    Indicates that one entity is the English alphabet letter that matches, represents, or is equivalent to the other entity.
  • E. hasSurnamePattern
    Indicates that an entity’s surname follows or matches a specified structural or stylistic pattern.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833496dc8190ae4b4a03ba04d69d completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.