Triple
T17970919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiye |
E449336
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Yuya |
—
|
NE NERFINISHED |
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: Yuya | Statement: [Tiye, father, Yuya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuya Context triple: [Tiye, father, Yuya]
-
A.
Yuya
chosen
Yuya was a powerful ancient Egyptian courtier and nobleman of the 18th Dynasty, best known as the father of Queen Tiye and grandfather of Pharaoh Akhenaten.
-
B.
Jun-ya
Jun-ya is a Japanese given name typically used for males, with various possible kanji writings that convey different meanings.
-
C.
Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
-
D.
Yuko
Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
-
E.
Yuta Tabuse
Yuta Tabuse is a Japanese professional basketball point guard best known as the first Japanese-born player to appear in an NBA regular-season game.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fa67c48190936f20cea45e4599 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.