Triple
T3692266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crouching Tiger, Hidden Dragon: Sword of Destiny |
E78368
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
|
E380853
|
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: Roger Yuan | Statement: [Crouching Tiger, Hidden Dragon: Sword of Destiny, starred, Roger Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Yuan Context triple: [Crouching Tiger, Hidden Dragon: Sword of Destiny, starred, Roger Yuan]
-
A.
Jamie Chen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
B.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
-
C.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
D.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
E.
Daniel Wu
Daniel Wu is a Hong Kong-American actor, director, and producer known for his roles in action and fantasy films as well as the TV series "Into the Badlands."
- 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: Roger Yuan Triple: [Crouching Tiger, Hidden Dragon: Sword of Destiny, starred, Roger Yuan]
Generated description
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Yuan Target entity description: Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
-
A.
Jamie Chen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
B.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
-
C.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
D.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
E.
Daniel Wu
Daniel Wu is a Hong Kong-American actor, director, and producer known for his roles in action and fantasy films as well as the TV series "Into the Badlands."
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e89f588190951371439a035850 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3cd64c4819098f9f93a8d2efdf7 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c5e9ce5481909465e77cb3590f88 |
completed | March 14, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c644efe0819098d982c6a06cd9b4 |
completed | March 14, 2026, 2:21 a.m. |
Created at: March 8, 2026, 3:26 p.m.