Triple
T18364967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaoyichun |
E440018
|
entity |
| Predicate | posthumouslyPromotedTo |
P110011
|
FINISHED |
| Object | 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: Empress | Statement: [Empress Xiaoyichun, posthumouslyPromotedTo, Empress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posthumouslyPromotedTo Context triple: [Empress Xiaoyichun, posthumouslyPromotedTo, Empress]
-
A.
posthumousTitleOf
chosen
Indicates that one entity is the honorary or formal title granted to another entity after that entity’s death.
-
B.
celebratedAfter
Indicates that one event or celebration occurs later in time as a result of, or in response to, another specified event.
-
C.
posthumousTitleYear
Indicates the year in which an entity was formally granted a title or honor after its death.
-
D.
posthumousAwardsRestoredInYear
Indicates that awards, previously revoked or unrecognized during a person’s lifetime, were officially reinstated or granted in a specified year after their death.
-
E.
namedAfterHallOfFame
Indicates that one entity is named in honor of, or after, a Hall of Fame or a Hall of Fame inductee.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174d31608190851a5bab6878c203 |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:38 a.m.