Triple
T32495548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Chen Jiao |
E830511
|
entity |
| Predicate | depositionConsequence |
P812
|
FINISHED |
| Object | lost title of empress |
—
|
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: lost title of empress | Statement: [Empress Chen Jiao, depositionConsequence, lost title of empress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depositionConsequence Context triple: [Empress Chen Jiao, depositionConsequence, lost title of empress]
-
A.
deathAfterDeposition
Indicates that one entity dies at some point after another entity has been deposed or removed from a position.
-
B.
deposes
Indicates the action by which one party forcibly removes another from a position of power or authority.
-
C.
violationConsequences
Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
-
D.
depositionEvent
Indicates an event in which material, substances, or particles are laid down, accumulated, or settled from one location or medium onto another.
-
E.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c40e16d0819084ab23950b416eb6 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.