Triple
T3515201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingtai Emperor |
E74288
|
entity |
| Predicate | posthumousTreatment |
P4225
|
FINISHED |
| Object | denied temple name during Tianshun reign for a time |
—
|
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: denied temple name during Tianshun reign for a time | Statement: [Jingtai Emperor, posthumousTreatment, denied temple name during Tianshun reign for a time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posthumousTreatment Context triple: [Jingtai Emperor, posthumousTreatment, denied temple name during Tianshun reign for a time]
-
A.
posthumousReputation
Indicates the reputation or standing attributed to a person after their death.
-
B.
isPosthumous
chosen
Indicates that something occurs, is created, or is conferred after the death of the person to whom it relates.
-
C.
canBeAwardedPosthumously
Indicates that something (such as an honor, title, or award) is eligible to be granted to a person after their death.
-
D.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
E.
coffinLaterBecomes
Indicates that something which is initially a coffin later transforms into or is repurposed as another object or state.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.