Triple
T33017881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 杜聿明 |
E844824
|
entity |
| Predicate | 重要同僚 |
P175916
|
FINISHED |
| Object | 衛立煌 |
—
|
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: 衛立煌 | Statement: [杜聿明, 重要同僚, 衛立煌]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 重要同僚 Context triple: [杜聿明, 重要同僚, 衛立煌]
-
A.
imperialColleague
Indicates a professional peer or coworker relationship between individuals within an imperial or empire-related context.
-
B.
friendAndSuperiorOfficer
Indicates that one person is both a friend of another person and holds a higher-ranking or supervisory position over them.
-
C.
importantObject
Indicates that one entity is considered especially significant, central, or of high priority in relation to another entity or context.
-
D.
importantOffice
Indicates that an entity holds or is associated with a position or office considered significant or high in importance within a given context.
-
E.
formerColleagueOf
Indicates that two entities once worked together as colleagues in the past but no longer do so.
- F. None of above. chosen
Provenance (4 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.