Triple
T15696192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Dalassene |
E380464
|
entity |
| Predicate | roleInAlexiad |
P120326
|
FINISHED |
| Object | central political figure |
—
|
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: central political figure | Statement: [Anna Dalassene, roleInAlexiad, central political figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAlexiad Context triple: [Anna Dalassene, roleInAlexiad, central political figure]
-
A.
ByzantineCommander
Indicates a relationship where an entity holds the role or function of a commander within a Byzantine military or organizational context.
-
B.
allyOfByzantines
Indicates a relationship where an entity served as an ally or cooperative partner of the Byzantine Empire.
-
C.
ByzantineEmperorDuringConflict
Indicates that a person held the office of Byzantine Emperor during the time span of a specified conflict.
-
D.
roleInThirtyTyrants
Indicates that an entity held a specific role or position within the regime known as the Thirty Tyrants.
-
E.
roleAfterAlexander
Indicates that one entity holds a role, position, or status that is defined or understood specifically in the context of the period after Alexander (typically Alexander the Great).
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.