Triple
T17970918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiye |
E449336
|
entity |
| Predicate | possiblyMotherOf |
P20843
|
FINISHED |
| Object | Tutankhamun |
—
|
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: Tutankhamun | Statement: [Tiye, possiblyMotherOf, Tutankhamun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tutankhamun Context triple: [Tiye, possiblyMotherOf, Tutankhamun]
-
A.
Tutankhamun
chosen
Tutankhamun was a young 18th-dynasty Egyptian pharaoh whose nearly intact tomb, discovered in 1922, made him one of the most famous figures of ancient Egypt.
-
B.
Kahmunrah
Kahmunrah is the power-hungry ancient Egyptian pharaoh and main antagonist in the film "Night at the Museum: Battle of the Smithsonian."
-
C.
Neferkare
Neferkare is the throne name of the ancient Egyptian pharaoh Pepi II, a long-reigning ruler of the Sixth Dynasty in the Old Kingdom.
-
D.
Ramerrez
Ramerrez is the bandit-hero and romantic lead of Puccini’s opera *La fanciulla del West*, whose love for the saloon owner Minnie drives the drama.
-
E.
Thutmose
Thutmose was an ancient Egyptian sculptor of the 14th century BCE, best known for creating the iconic bust of Queen Nefertiti.
- 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.