Triple
T22141325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris-Mihail |
E547164
|
entity |
| Predicate | titleAfterConversion |
P147139
|
FINISHED |
| Object | Christian ruler of Bulgaria |
—
|
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: Christian ruler of Bulgaria | Statement: [Boris-Mihail, titleAfterConversion, Christian ruler of Bulgaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterConversion Context triple: [Boris-Mihail, titleAfterConversion, Christian ruler of Bulgaria]
-
A.
titleAfterCase
Indicates that a title or designation is assigned to or used for an entity only after a particular case, event, or legal proceeding has occurred.
-
B.
titleHolderConvertedTo
Indicates that a title previously held by one entity has been transferred or converted so that it is now held in a different form or by another entity.
-
C.
titleAfterShredding
Indicates that one entity holds a particular title or designation after a shredding event or shredding process has occurred.
-
D.
titleAfterName
Indicates that a person’s title or honorific is written after their name rather than before it.
-
E.
titleRetainedAfter
Indicates that an entity continues to hold or use the same title after a specified event or point in time.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129beb6c8819083be3b7479bc032f |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:32 p.m.