Triple

T23340681
Position Surface form Disambiguated ID Type / Status
Subject H. H. Kung E591726 entity
Predicate givenName P17 FINISHED
Object Hsiang-hsi
Hsiang-hsi (H. H. Kung) was a prominent Chinese banker and politician who served as a leading financial official in the Republic of China during the early 20th century.
 E1581859 NE FINISHED

How this triple was built (4 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: Hsiang-hsi | Statement: [H. H. Kung, givenName, Hsiang-hsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hsiang-hsi
Context triple: [H. H. Kung, givenName, Hsiang-hsi]
  • A. Hsia-men
    Hsia-men is an older romanized form of the name for Xiamen, a major port city on the southeast coast of China in Fujian Province.
  • B. Yi-huah
    Yi-huah is a Taiwanese political scientist and former Premier of the Republic of China (Taiwan).
  • C. Yüeh-chih
    Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
  • D. Kuei-mei
    Kuei-mei is a Taiwanese actress best known for her work in critically acclaimed East Asian films and television dramas.
  • E. Hsiao-chang
    Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hsiang-hsi
Triple: [H. H. Kung, givenName, Hsiang-hsi]
Generated description
Hsiang-hsi (H. H. Kung) was a prominent Chinese banker and politician who served as a leading financial official in the Republic of China during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hsiang-hsi
Target entity description: Hsiang-hsi (H. H. Kung) was a prominent Chinese banker and politician who served as a leading financial official in the Republic of China during the early 20th century.
  • A. Hsia-men
    Hsia-men is an older romanized form of the name for Xiamen, a major port city on the southeast coast of China in Fujian Province.
  • B. Yi-huah
    Yi-huah is a Taiwanese political scientist and former Premier of the Republic of China (Taiwan).
  • C. Yüeh-chih
    Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
  • D. Kuei-mei
    Kuei-mei is a Taiwanese actress best known for her work in critically acclaimed East Asian films and television dramas.
  • E. Hsiao-chang
    Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
  • F. None of above. chosen

Provenance (5 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198329d9c8190992627afa9b54bed completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cb61d688190970ccb33d82c0fdd completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e915358819097b8c0b69b2a490f completed May 19, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c52a1b82c81909c27a1cde973ae44 completed May 19, 2026, 12:08 p.m.
Created at: April 17, 2026, 5:18 p.m.