Triple
T15698390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South of Pago Pago |
E380524
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Willie Fung
Willie Fung was a Chinese-American character actor active in early Hollywood films, often cast in stereotypical Asian roles during the 1920s–1940s.
|
E1172392
|
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: Willie Fung | Statement: [South of Pago Pago, hasCastMember, Willie Fung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willie Fung Context triple: [South of Pago Pago, hasCastMember, Willie Fung]
-
A.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
B.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Bennie Chan
Bennie Chan is a determined Hong Kong detective portrayed by Jackie Chan in the action-comedy film "Skiptrace."
-
D.
Benson Fong
Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
-
E.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
- 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: Willie Fung Triple: [South of Pago Pago, hasCastMember, Willie Fung]
Generated description
Willie Fung was a Chinese-American character actor active in early Hollywood films, often cast in stereotypical Asian roles during the 1920s–1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willie Fung Target entity description: Willie Fung was a Chinese-American character actor active in early Hollywood films, often cast in stereotypical Asian roles during the 1920s–1940s.
-
A.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
B.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Bennie Chan
Bennie Chan is a determined Hong Kong detective portrayed by Jackie Chan in the action-comedy film "Skiptrace."
-
D.
Benson Fong
Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
-
E.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6c3328819081325b702ca92862 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76cdbddc81908c7350473195cdac |
completed | May 9, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77ab82d08190a3e6b08fd57587a3 |
completed | May 9, 2026, 6:06 p.m. |
Created at: April 10, 2026, 4:44 a.m.