Triple
T12522983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Teti |
E299364
|
entity |
| Predicate | hasMonarch |
P765
|
FINISHED |
| Object | Userkare |
E253774
|
NE FINISHED |
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: Userkare | Statement: [House of Teti, hasMonarch, Userkare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Userkare Context triple: [House of Teti, hasMonarch, Userkare]
-
A.
Userkare
chosen
Userkare was a short-reigning pharaoh of Egypt’s Sixth Dynasty, known primarily from sparse archaeological and textual evidence that leaves many details of his rule uncertain.
-
B.
Userkaf
Userkaf was a pharaoh of Egypt’s Fifth Dynasty, best known for initiating the construction of sun temples and helping establish the prominence of the solar cult of Ra.
-
C.
Usery
Usery is a surname most notably associated with William J. Usery Jr., a prominent American labor union activist and U.S. Secretary of Labor.
-
D.
Kuser
Kuser is a surname associated with an American family notable in New Jersey politics, business, and public life in the late 19th and early 20th centuries.
-
E.
Useriner See
Useriner See is a lake in northeastern Germany, situated within the Mecklenburg Lake District and known for its natural scenery and recreational opportunities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.