Triple
T8045796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sima Guang |
E187546
|
entity |
| Predicate | yearsSpentOnZizhiTongjian |
P80720
|
FINISHED |
| Object | about 19 years |
—
|
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: about 19 years | Statement: [Sima Guang, yearsSpentOnZizhiTongjian, about 19 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsSpentOnZizhiTongjian Context triple: [Sima Guang, yearsSpentOnZizhiTongjian, about 19 years]
-
A.
PeiSongzhiAnnotationsDynasty
Indicates that Pei Songzhi provided annotations or commentary on a work associated with a particular dynasty.
-
B.
compiledUnderDynasty
Indicates that a work or document was compiled during the reign or period of a specific dynasty.
-
C.
hasLongHistory
Indicates that the relationship or subject has existed or persisted over a long period of time.
-
D.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
E.
chroniclesPeriodFrom
Indicates that something documents or records events starting from a specified point in time or historical period.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4d9ddc8190a7dcf85ed47ee6c3 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:24 p.m.