Triple
T27766568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sima Yan |
E701614
|
entity |
| Predicate | titleAfterFoundingJin |
P188417
|
FINISHED |
| Object | Emperor of Jin |
—
|
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: Emperor of Jin | Statement: [Sima Yan, titleAfterFoundingJin, Emperor of Jin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterFoundingJin Context triple: [Sima Yan, titleAfterFoundingJin, Emperor of Jin]
-
A.
foundingDynastyOf
Indicates that a particular dynasty is the original founding ruling house or lineage of a specified political entity, state, or realm.
-
B.
establishedUnderDynasty
Indicates that something (such as an institution, structure, or entity) was founded or created during the rule of a specific dynasty.
-
C.
governingDynastyAtFoundation
Indicates the ruling dynasty that held power at the time an entity (such as a state, city, or institution) was founded.
-
D.
founderDynasty
Indicates that an entity is the founding member or originator of a particular dynasty.
-
E.
namesakeFounded
Indicates that an entity was founded by a person or organization for whom it is named (i.e., its namesake is also its founder).
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: April 27, 2026, 4:31 p.m.