Triple
T3623037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atossa |
E76771
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Gaumata |
E344002
|
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: Gaumata | Statement: [Atossa, spouse, Gaumata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaumata Context triple: [Atossa, spouse, Gaumata]
-
A.
Gaumata
chosen
Gaumata was a Magian priest who seized the Persian throne by impersonating the Achaemenid king Bardiya, before being overthrown by Darius I.
-
B.
Otunga
Otunga is the surname of David Otunga, an American lawyer, actor, and former professional wrestler best known for his time in WWE.
-
C.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
D.
Gukumatz
Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
-
E.
Tabogon
Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43320955c8190910c0f15c80f41f4 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.