Triple
T12522917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iput I |
E299362
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Unas |
E254171
|
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: Unas | Statement: [Iput I, father, Unas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unas Context triple: [Iput I, father, Unas]
-
A.
Unas
chosen
Unas was the last pharaoh of Egypt’s Fifth Dynasty, best known for being the first ruler to inscribe the Pyramid Texts in his burial monument at Saqqara.
-
B.
Unangas
Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
-
C.
Estes
Estes is a surname of English and Scottish origin borne by various notable individuals across politics, sports, and the arts.
-
D.
Unhas
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
-
E.
Una
Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
- 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.