Triple
T15135898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Maya Devi |
E361551
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Queen Maya |
E940325
|
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: Queen Maya | Statement: [Queen Maya Devi, name, Queen Maya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Maya Context triple: [Queen Maya Devi, name, Queen Maya]
-
A.
Queen Maya Devi
Queen Maya Devi is revered in Buddhist tradition as the mother of Siddhartha Gautama, who became the Buddha.
-
B.
Māyā
chosen
Māyā is the mother of Siddhartha Gautama (the Buddha) in Buddhist tradition, revered as Queen Māyādevī.
-
C.
Lalita
Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
-
D.
Queen of Hastinapura
The Queen of Hastinapura is a royal consort in the Kuru dynasty of the Indian epic Mahabharata, most prominently associated with Kunti, the mother of the Pandavas.
-
E.
Princess Ahmanet
Princess Ahmanet is the vengeful ancient Egyptian royal and primary antagonist in the 2017 film "The Mummy."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b3f6f48190b1ed7c7b28feb7a6 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed323e5548190902f65db50a36cd4 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:07 a.m.