Triple
T5455110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宋子文 |
E122459
|
entity |
| Predicate | 主要贡献 |
P477
|
FINISHED |
| Object | 组织抗战时期对外借款与财政筹措 |
—
|
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: 组织抗战时期对外借款与财政筹措 | Statement: [宋子文, 主要贡献, 组织抗战时期对外借款与财政筹措]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要贡献 Context triple: [宋子文, 主要贡献, 组织抗战时期对外借款与财政筹措]
-
A.
notableContribution
chosen
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
B.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
C.
contributionBase
Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
-
D.
researchContribution
Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
-
E.
missionContribution
Indicates that an entity plays a role in supporting, advancing, or fulfilling the mission or overarching purpose of another entity or organization.
- 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.