Triple
T10611748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Supayalat |
E276023
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Laungshe Mibaya |
E874824
|
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: Laungshe Mibaya | Statement: [Queen Supayalat, mother, Laungshe Mibaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laungshe Mibaya Context triple: [Queen Supayalat, mother, Laungshe Mibaya]
-
A.
Laungshe Mibaya
chosen
Laungshe Mibaya was a Burmese queen consort of the Konbaung dynasty and the mother of Burma’s last king, Thibaw Min.
-
B.
Molānā
Molānā is the honorific name commonly used for Jalāl al-Dīn Rūmī, the 13th-century Persian poet, Islamic scholar, and Sufi mystic renowned for his spiritual poetry and teachings.
-
C.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
-
D.
Zang Tumb Tuum
Zang Tumb Tuum is a 1914 Futurist sound-poetry work by Italian artist F.T. Marinetti, notable for its experimental typographic layout and onomatopoeic evocation of modern warfare.
-
E.
Ain Qinna
Ain Qinna is a village located in the Koura District of the North Governorate in Lebanon.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b716a088190b84982f1a8173e0a |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:33 p.m.