Triple

T4128528
Position Surface form Disambiguated ID Type / Status
Subject Kelly Chan E92784 entity
Predicate familyName P18 FINISHED
Object E87685 NE FINISHED

How this triple was built (2 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: 陳 | Statement: [Kelly Chan, familyName, 陳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 陳
Context triple: [Kelly Chan, familyName, 陳]
  • A. chosen
    陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
  • B.
    趙 is a common Chinese surname with historical roots in ancient China, notably associated with the State of Zhao during the Warring States period.
  • C. Chen Cheng
    Chen Cheng was a prominent Chinese military leader and politician who played key roles in the Nationalist government and later served as Premier and Vice President of the Republic of China in Taiwan.
  • D. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021c5ca48190a829bab07dda55d0 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bc48f0819081ac3f921736854f completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.