Triple
T13699743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Yen |
E328484
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Bow-sim Mark
Bow-sim Mark is a renowned Chinese martial artist and wushu master, best known for her influential teaching career and contributions to modernizing traditional Chinese martial arts.
|
E1056054
|
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: Bow-sim Mark | Statement: [Donnie Yen, parent, Bow-sim Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bow-sim Mark Context triple: [Donnie Yen, parent, Bow-sim Mark]
-
A.
Bowe
Bowe is the surname of Riddick Bowe, an American former professional boxer and two-time world heavyweight champion.
-
B.
Jack Simms
Jack Simms was the discoverer of Mark Twain Cave, a famous show cave in Missouri associated with author Mark Twain and his writings.
-
C.
Simo
Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
-
D.
Jay Simms
Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
-
E.
Lance
Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
- 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: Bow-sim Mark Triple: [Donnie Yen, parent, Bow-sim Mark]
Generated description
Bow-sim Mark is a renowned Chinese martial artist and wushu master, best known for her influential teaching career and contributions to modernizing traditional Chinese martial arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bow-sim Mark Target entity description: Bow-sim Mark is a renowned Chinese martial artist and wushu master, best known for her influential teaching career and contributions to modernizing traditional Chinese martial arts.
-
A.
Bowe
Bowe is the surname of Riddick Bowe, an American former professional boxer and two-time world heavyweight champion.
-
B.
Jack Simms
Jack Simms was the discoverer of Mark Twain Cave, a famous show cave in Missouri associated with author Mark Twain and his writings.
-
C.
Simo
Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
-
D.
Jay Simms
Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
-
E.
Lance
Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794559e9c81909ef8a6d9b9f480b3 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 9:54 p.m.