Triple
T8218581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Bong |
E192000
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bong
Bong is a surname most notably associated with Richard Bong, the leading American fighter ace of World War II.
|
E719045
|
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: Bong | Statement: [Richard Bong, familyName, Bong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bong Context triple: [Richard Bong, familyName, Bong]
-
A.
Bom Kim
Bom Kim is a Korean-American entrepreneur best known as the founder and CEO of Coupang, one of South Korea’s largest e-commerce companies.
-
B.
Kong Ji
Kong Ji was a Chinese philosopher of the late Spring and Autumn period, the grandson of Confucius, traditionally regarded as the author of the Confucian classic "Doctrine of the Mean."
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Kotto
Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
-
E.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
- 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: Bong Triple: [Richard Bong, familyName, Bong]
Generated description
Bong is a surname most notably associated with Richard Bong, the leading American fighter ace of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bong Target entity description: Bong is a surname most notably associated with Richard Bong, the leading American fighter ace of World War II.
-
A.
Bom Kim
Bom Kim is a Korean-American entrepreneur best known as the founder and CEO of Coupang, one of South Korea’s largest e-commerce companies.
-
B.
Kong Ji
Kong Ji was a Chinese philosopher of the late Spring and Autumn period, the grandson of Confucius, traditionally regarded as the author of the Confucian classic "Doctrine of the Mean."
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Kotto
Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
-
E.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7770cee881908ade560d49427895 |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedfb6f608190aebfa720b56325e5 |
completed | April 1, 2026, 10:05 a.m. |
| NEDg | Description generation | batch_69ccf1bbbd2481908400436e05911326 |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05eaba1c81908510a20b1ca93821 |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:45 p.m.