Triple
T13699724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Yen |
E328484
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ip Man |
E931915
|
NE FINISHED |
How this triple was built (2 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: Ip Man | Statement: [Donnie Yen, notableWork, Ip Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ip Man Context triple: [Donnie Yen, notableWork, Ip Man]
-
A.
Ip Man
chosen
Ip Man was a renowned Chinese martial artist and Wing Chun grandmaster best known as the teacher of Bruce Lee.
-
B.
Drunken Master
Drunken Master is a 1978 Hong Kong martial arts comedy film that helped establish Jackie Chan’s signature blend of acrobatic kung fu and slapstick humor.
-
C.
Fist of Fury
Fist of Fury is a 1972 Hong Kong martial arts film starring Bruce Lee, renowned for its intense fight choreography and themes of Chinese nationalism and resistance to oppression.
-
D.
Shaolin Kung Fu
Shaolin Kung Fu is a historic Chinese martial arts tradition renowned for its rigorous physical training, intricate techniques, and deep roots in Chan (Zen) Buddhism.
-
E.
Ji Shaolin
Ji Shaolin is a Chinese mathematician known as a student of the prominent analyst Peng Shige.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.