Triple
T14698450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basileus |
E345225
|
entity |
| Predicate | feminineForm |
P17779
|
FINISHED |
| Object | Basilissa |
E568372
|
NE 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: Basilissa | Statement: [Basileus, feminineForm, Basilissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basilissa Context triple: [Basileus, feminineForm, Basilissa]
-
A.
Basilissa (queen)
chosen
Basilissa (queen) is the royal title used in ancient Greek and Hellenistic realms for a reigning queen or queen consort, signifying her status as a female monarch.
-
B.
Basilissa Ouranon
Basilissa Ouranon is the Greek name for the Queen of Heaven, a revered celestial goddess figure associated with divine authority and the heavens.
-
C.
Monarcha
Monarcha is a genus of small insectivorous passerine birds commonly known as monarch flycatchers, found mainly in Australasia and the Pacific islands.
-
D.
Queen Ravenna
Queen Ravenna is the ruthless, power-obsessed sorceress and primary antagonist who usurps the throne in the dark fantasy film "Snow White and the Huntsman."
-
E.
Empress Pan
Empress Pan was the wife of Eastern Wu ruler Sun Quan and briefly served as empress during the Three Kingdoms period of China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38857068819085e0d62829302abd |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:28 a.m.