Triple
T12522982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Teti |
E299364
|
entity |
| Predicate | hasMonarch |
P765
|
FINISHED |
| Object | Teti |
E285681
|
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: Teti | Statement: [House of Teti, hasMonarch, Teti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teti Context triple: [House of Teti, hasMonarch, Teti]
-
A.
Teti
chosen
Teti was the founding pharaoh of Egypt’s Sixth Dynasty, known for initiating a period of centralized power and extensive pyramid-building at Saqqara.
-
B.
Radjedef
Radjedef was an ancient Egyptian pharaoh of the 4th Dynasty, likely a son of Khufu, who ruled from Giza and is known for building a pyramid at Abu Rawash.
-
C.
Khakheperre
Khakheperre was the throne name of the ancient Egyptian pharaoh Senusret II of the Twelfth Dynasty.
-
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.
Kaemsekhem
Kaemsekhem was an ancient Egyptian prince of the 4th Dynasty, known from his tomb at Giza and his close ties to the royal family of that period.
- 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_6a01792dc0b08190a0871959ce752313 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 8, 2026, 9:57 p.m.