Triple
T35836645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 吳彥祖 |
E1035956
|
entity |
| Predicate | 主要媒介 |
P5765
|
FINISHED |
| Object | 電影長片 |
—
|
LITERAL 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: 電影長片 | Statement: [吳彥祖, 主要媒介, 電影長片]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要媒介 Context triple: [吳彥祖, 主要媒介, 電影長片]
-
A.
primaryBroadcastMedium
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
B.
primaryMedium
chosen
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
C.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
D.
primaryMediaType
Indicates the main or dominant type of media associated with an entity (for example, image, video, audio, or text).
-
E.
mediaOutletType
Indicates the classification of a media outlet according to its type or format (e.g., newspaper, TV channel, online platform).
- F. None of above.
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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.