Triple
T17970912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiye |
E449336
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Henuttaneb |
—
|
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: Henuttaneb | Statement: [Tiye, motherOf, Henuttaneb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henuttaneb Context triple: [Tiye, motherOf, Henuttaneb]
-
A.
Henuttaneb
chosen
Henuttaneb was an ancient Egyptian princess of the 18th Dynasty, known as a daughter of Pharaoh Amenhotep III and Queen Tiye.
-
B.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
C.
Haabneeme
Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
-
D.
Nebbi
Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
-
E.
Neltume
Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
- 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.