Triple
T26450590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medferiashwork Abebe |
E665336
|
entity |
| Predicate | marriedToHeirApparentOf |
P104869
|
FINISHED |
| Object | Ethiopian Empire |
—
|
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: Ethiopian Empire | Statement: [Medferiashwork Abebe, marriedToHeirApparentOf, Ethiopian Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToHeirApparentOf Context triple: [Medferiashwork Abebe, marriedToHeirApparentOf, Ethiopian Empire]
-
A.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
-
B.
spouseOfHeirToThrone
chosen
Indicates that one person is the married partner of an individual who is the heir to a throne.
-
C.
marriedToMonarchFrom
Indicates that a person is married to a monarch who rules or comes from a specified country or region.
-
D.
marriedToHeiress
Indicates that a person is married to someone who is an heiress.
-
E.
marriedToMonarchUntil
Indicates that an individual was married to a monarch up to a specified end point in time, after which the marriage no longer held.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 12:05 a.m.