Triple
T38183313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanakht |
E1005234
|
entity |
| Predicate | throneNameHypothesis |
P190267
|
FINISHED |
| Object | Nebka |
—
|
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: Nebka | Statement: [Sanakht, throneNameHypothesis, Nebka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throneNameHypothesis Context triple: [Sanakht, throneNameHypothesis, Nebka]
-
A.
throneName
Indicates the official royal or regnal name adopted by a ruler when they ascend to the throne.
-
B.
throneNameType
Indicates the specific type or category of a throne-related name or title associated with an entity.
-
C.
throne
Indicates that an entity holds or occupies a position of sovereign authority or rulership, typically as a monarch.
-
D.
throneNameStatus
Indicates the status or condition of an entity’s throne-related name or title, such as whether it is current, former, valid, or otherwise classified.
-
E.
throneNameLanguage
Indicates the language in which a ruler’s throne name or regnal title is expressed.
- F. None of above. chosen
Provenance (4 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:29 p.m.