Triple
T33097228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Yuanji |
E846943
|
entity |
| Predicate | posthumousTitleStatus |
P176393
|
FINISHED |
| Object | stripped after death |
—
|
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: stripped after death | Statement: [Li Yuanji, posthumousTitleStatus, stripped after death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posthumousTitleStatus Context triple: [Li Yuanji, posthumousTitleStatus, stripped after death]
-
A.
posthumousTitleOf
Indicates that one entity is the honorary or formal title granted to another entity after that entity’s death.
-
B.
posthumousTitleIn
Indicates that an entity was granted a specific posthumous title within a particular jurisdiction, period, or context.
-
C.
posthumousTitleGiver
Indicates a relationship where one entity confers or bestows a posthumous title upon another entity after their death.
-
D.
posthumousTitleYear
Indicates the year in which an entity was formally granted a title or honor after its death.
-
E.
posthumousNameType
Indicates the specific category or style of a posthumous name assigned to a person after their death.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:26 a.m.