Triple

T21150436
Position Surface form Disambiguated ID Type / Status
Subject Sean Chen E521171 entity
Predicate succeededBy P78 FINISHED
Object Jiang Yi-huah NE NERFINISHED

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: Jiang Yi-huah | Statement: [Sean Chen, succeededBy, Jiang Yi-huah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiang Yi-huah
Context triple: [Sean Chen, succeededBy, Jiang Yi-huah]
  • A. Jiang Yi-huah chosen
    Jiang Yi-huah is a Taiwanese political scientist and politician who served as Premier of the Republic of China (Taiwan) in the early 2010s.
  • B. Chien Yu-hsiu
    Chien Yu-hsiu is a Taiwanese badminton player known for competing in international men’s and mixed doubles events.
  • C. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • D. Teng Yu-hui
    Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • E. Kao Hsiao-yuan
    Kao Hsiao-yuan is a notable individual who bears the Chinese surname Kao and is recognized for achievements significant enough to be distinctly recorded.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.