Triple
T10204392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seti I |
E238964
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tuya |
E359103
|
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: Tuya | Statement: [Seti I, spouse, Tuya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuya Context triple: [Seti I, spouse, Tuya]
-
A.
Tuya
chosen
Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
-
B.
Tenda
Tenda is a historic mountain village and commune in southeastern France’s Alpes-Maritimes, near the Italian border, known for its medieval architecture and Alpine setting.
-
C.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
-
D.
Zimei
Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
-
E.
Tiko
Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeed8644c8190b497aaf52583fa6d |
completed | April 2, 2026, 4:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d318026ee88190961288fdbde73b08 |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.