Triple
T20485576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George I of Georgia |
E502583
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Martha of Tao |
—
|
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: Martha of Tao | Statement: [George I of Georgia, mother, Martha of Tao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha of Tao Context triple: [George I of Georgia, mother, Martha of Tao]
-
A.
Martha of Tao
chosen
Martha of Tao was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King Bagrat III of Georgia and a member of the influential Tao-Klarjeti aristocracy.
-
B.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
C.
Hilda Múdra
Hilda Múdra was a prominent figure skating coach best known for guiding Slovak skater Ondrej Nepela to Olympic and World Championship titles.
-
D.
Trisanna
Trisanna is a river in the Austrian Alps that flows through the Paznaun Valley and contributes to the Inn river system.
-
E.
Maretha
Maretha is a young girl in the television film adaptation of August Wilson's "The Piano Lesson," representing the family's next generation and their hopes for a better future.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5aac208190956c7fd935578d60 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.