Triple
T17024353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project A |
E413024
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Dick Wei
Dick Wei is a Taiwanese martial artist and actor best known for playing formidable villains in 1980s Hong Kong action films.
|
E1245665
|
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: Dick Wei | Statement: [Project A, stars, Dick Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Wei Context triple: [Project A, stars, Dick Wei]
-
A.
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.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Joseph Wu
Joseph Wu is a Taiwanese politician and diplomat who has served in key roles managing Taiwan’s relations with China and its broader foreign affairs.
-
D.
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.
-
E.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
- 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: Dick Wei Triple: [Project A, stars, Dick Wei]
Generated description
Dick Wei is a Taiwanese martial artist and actor best known for playing formidable villains in 1980s Hong Kong action films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dick Wei Target entity description: Dick Wei is a Taiwanese martial artist and actor best known for playing formidable villains in 1980s Hong Kong action films.
-
A.
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.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Joseph Wu
Joseph Wu is a Taiwanese politician and diplomat who has served in key roles managing Taiwan’s relations with China and its broader foreign affairs.
-
D.
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.
-
E.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c021e1c819098e04b1cbaf33ecd |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.