Triple
T27113603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马思纯 |
E686779
|
entity |
| Predicate | 获奖 |
P150687
|
FINISHED |
| Object | 第53届金马奖最佳女主角 |
—
|
NE NERFINISHED |
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: 第53届金马奖最佳女主角 | Statement: [马思纯, 获奖, 第53届金马奖最佳女主角]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 获奖 Context triple: [马思纯, 获奖, 第53届金马奖最佳女主角]
-
A.
奖励领域
Indicates a relationship where an entity is associated with, or falls within, a particular domain or field in which rewards, awards, or incentives are given.
-
B.
awardResult
Indicates the outcome or status of an award process, linking an award event to its final decision or result.
-
C.
awardOutcome
Indicates the result or consequence of giving an award, such as whether it was granted, denied, or its final status.
-
D.
receivedAwardIn
chosen
Indicates that an entity was given or obtained a specific award in a particular place or context.
-
E.
评选对象
Indicates the entities that are chosen or designated as candidates or subjects for evaluation, selection, or judging in an assessment or award process.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6240450088190af486dbde3daeacb |
completed | May 2, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:55 a.m.