Triple
T5455115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宋子文 |
E122459
|
entity |
| Predicate | 时代背景 |
P49296
|
FINISHED |
| Object | 中华民国大陆时期 |
—
|
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: 中华民国大陆时期 | Statement: [宋子文, 时代背景, 中华民国大陆时期]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 时代背景 Context triple: [宋子文, 时代背景, 中华民国大陆时期]
-
A.
時代
chosen
Indicates a temporal relationship where something belongs to, occurs in, or is characteristic of a particular era or period in time.
-
B.
historicalBackground
Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
-
C.
historicalSettingOfFilm
Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
-
D.
historicalCondition
Indicates that one entity represents a condition, state, or circumstance that applied to another entity at some point in the past.
-
E.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.