Triple
T17468428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nekhbet |
E425337
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The White One |
—
|
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: The White One | Statement: [Nekhbet, title, The White One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The White One Context triple: [Nekhbet, title, The White One]
-
A.
The White One
chosen
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
B.
Le Blanc
Le Blanc is a small French town in the Indre department, known for its picturesque setting on the Creuse River and its role as a local administrative and commercial center.
-
C.
De Withte
De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
-
D.
The Man Who Turned White
*The Man Who Turned White* is a 1919 silent drama film starring Japanese actor Sessue Hayakawa, notable for its exploration of race and identity in early American cinema.
-
E.
The White and Blues
The White and Blues is the nickname of KF Tirana, one of Albania’s most successful and historically significant football clubs.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.