Triple

T8822314
Position Surface form Disambiguated ID Type / Status
Subject Huang Jen-hsun E209934 entity
Predicate familyName P18 FINISHED
Object Huang E209935 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: Huang | Statement: [Huang Jen-hsun, familyName, Huang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huang
Context triple: [Huang Jen-hsun, familyName, Huang]
  • A. Huang chosen
    Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
  • B. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • C. Huangwei Yu
    Huangwei Yu is a small outlying islet associated with the Diaoyutai (Senkaku) Islands in the East China Sea, known primarily within the context of regional territorial disputes.
  • D. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • E. Huang Hai
    Huang Hai is the Chinese name for the Yellow Sea, a marginal sea of the western Pacific Ocean located between mainland China and the Korean Peninsula.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
Created at: March 30, 2026, 6:46 p.m.