Triple
T17235890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 梅林茂 |
E418356
|
entity |
| Predicate | 主な協働相手 |
P33171
|
FINISHED |
| Object |
陳可辛
陳可辛は『甜蜜蜜（ラヴソング）』や『如果・愛（Perhaps Love）』などで知られる香港出身の映画監督・プロデューサーです。
|
E1257315
|
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: 陳可辛 | Statement: [梅林茂, 主な協働相手, 陳可辛]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陳可辛 Context triple: [梅林茂, 主な協働相手, 陳可辛]
-
A.
Chow Yiu-fai
Chow Yiu-fai is a Hong Kong lyricist, writer, and academic best known for his award-winning Cantopop lyrics and contributions to contemporary Chinese-language music and culture.
-
B.
李屏賓
李屏賓 is a renowned Taiwanese cinematographer acclaimed for his lyrical visual style and collaborations on films such as "In the Mood for Love" and "The Assassin."
-
C.
Peter Chan
Peter Chan is an illustrator and concept artist best known for his influential visual design work on classic LucasArts adventure games.
-
D.
Matthew Hui
Matthew Hui is a film editor known for his work on the Hong Kong romantic drama "Love Battlefield."
-
E.
Feng Xiaogang
Feng Xiaogang is a prominent Chinese film director, screenwriter, and actor best known for his commercially successful comedies and New Year films.
- 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: 陳可辛 Triple: [梅林茂, 主な協働相手, 陳可辛]
Generated description
陳可辛は『甜蜜蜜（ラヴソング）』や『如果・愛（Perhaps Love）』などで知られる香港出身の映画監督・プロデューサーです。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 陳可辛 Target entity description: 陳可辛は『甜蜜蜜（ラヴソング）』や『如果・愛（Perhaps Love）』などで知られる香港出身の映画監督・プロデューサーです。
-
A.
Chow Yiu-fai
Chow Yiu-fai is a Hong Kong lyricist, writer, and academic best known for his award-winning Cantopop lyrics and contributions to contemporary Chinese-language music and culture.
-
B.
李屏賓
李屏賓 is a renowned Taiwanese cinematographer acclaimed for his lyrical visual style and collaborations on films such as "In the Mood for Love" and "The Assassin."
-
C.
Peter Chan
Peter Chan is an illustrator and concept artist best known for his influential visual design work on classic LucasArts adventure games.
-
D.
Matthew Hui
Matthew Hui is a film editor known for his work on the Hong Kong romantic drama "Love Battlefield."
-
E.
Feng Xiaogang
Feng Xiaogang is a prominent Chinese film director, screenwriter, and actor best known for his commercially successful comedies and New Year films.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfb04e481909f4ee3ed31fffe10 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0168d0303c8190b7238aaab286a855 |
completed | May 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016957570081908b9aac6e43447884 |
completed | May 11, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:39 a.m.