Triple
T27766558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sima Yan |
E701614
|
entity |
| Predicate | posthumousTempleTitle |
P110011
|
FINISHED |
| Object | Emperor Wu |
—
|
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 Wu | Statement: [Sima Yan, posthumousTempleTitle, Emperor Wu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posthumousTempleTitle Context triple: [Sima Yan, posthumousTempleTitle, Emperor Wu]
-
A.
posthumousTitleOf
chosen
Indicates that one entity is the honorary or formal title granted to another entity after that entity’s death.
-
B.
hasEmperorPosthumousName
Indicates that an individual has been granted or is known by a specific posthumous name used for emperors.
-
C.
posthumousNameType
Indicates the specific category or style of a posthumous name assigned to a person after their death.
-
D.
posthumousTitleYear
Indicates the year in which an entity was formally granted a title or honor after its death.
-
E.
namedAfterReignTitle
Indicates that something is named after the official title held by a ruler during their reign.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637939be0819082653d4115cd1be1 |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:31 p.m.