Triple

T7991036
Position Surface form Disambiguated ID Type / Status
Subject Hung Hsiu-chu E186005 entity
Predicate familyName P18 FINISHED
Object Hung
Hung is a Chinese surname borne by various notable individuals, including politicians, entertainers, and athletes across the Chinese-speaking world.
E702883 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: Hung | Statement: [Hung Hsiu-chu, familyName, Hung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hung
Context triple: [Hung Hsiu-chu, familyName, Hung]
  • A. Hung
    Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
  • B. Hol
    Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
  • C. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • D. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • E. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • 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: Hung
Triple: [Hung Hsiu-chu, familyName, Hung]
Generated description
Hung is a Chinese surname borne by various notable individuals, including politicians, entertainers, and athletes across the Chinese-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hung
Target entity description: Hung is a Chinese surname borne by various notable individuals, including politicians, entertainers, and athletes across the Chinese-speaking world.
  • A. Hung
    Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
  • B. Hol
    Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
  • C. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • D. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • E. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.