Triple
T14984645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Theodora |
E373668
|
entity |
| Predicate | titleAfterRegency |
P77064
|
FINISHED |
| Object | dowager 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: dowager empress | Statement: [Empress Theodora, titleAfterRegency, dowager empress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterRegency Context triple: [Empress Theodora, titleAfterRegency, dowager empress]
-
A.
namedAfterReignTitle
Indicates that something is named after the official title held by a ruler during their reign.
-
B.
titleAfterExile
Indicates that an entity holds or receives a particular title only after a period of exile has occurred.
-
C.
titleReign
Indicates the period during which a particular title was officially held or exercised by an entity.
-
D.
titleAfterSpouseAccession
Indicates that an entity holds or adopts a particular title only after their spouse has acceded to a specified position or rank.
-
E.
regentTitle
chosen
Indicates the official title held by a person serving as regent (i.e., governing on behalf of another, such as a monarch or minor).
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.