Triple
T27113604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马思纯 |
E686779
|
entity |
| Predicate | 获奖作品 |
P97724
|
FINISHED |
| Object | 七月与安生 |
—
|
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: 七月与安生 | Statement: [马思纯, 获奖作品, 七月与安生]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 获奖作品 Context triple: [马思纯, 获奖作品, 七月与安生]
-
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.
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.
-
C.
awardResult
Indicates the outcome or status of an award process, linking an award event to its final decision or result.
-
D.
奖励性质
Indicates the nature or type of reward involved in the relationship or action.
-
E.
awardRelatedWork
chosen
Indicates that there is a connection between an award and the work (such as a project, publication, or performance) for which it was given or with which it is associated.
- 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.