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.