Triple
T10337529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netjerikhet |
E243044
|
entity |
| Predicate | throneName |
P25582
|
FINISHED |
| Object | Netjerikhet |
E243044
|
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: Netjerikhet | Statement: [Netjerikhet, throneName, Netjerikhet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Netjerikhet Context triple: [Netjerikhet, throneName, Netjerikhet]
-
A.
Netjerikhet
chosen
Netjerikhet is the ancient Egyptian pharaoh better known by his later name Djoser, famed for commissioning the Step Pyramid at Saqqara.
-
B.
Nastik
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
-
C.
Jaku Daya
Jaku Daya is the native name used by its speakers for the Iban language of Borneo.
-
D.
Nedmag
Nedmag is a Dutch company specializing in the production of high-quality magnesium salts and related mineral products.
-
E.
Kerketeus
Kerketeus is the ancient or alternative name for Mount Kerkis, a prominent mountain on the Greek island of Samos.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a3a8e4819097268ce101dec2d1 |
completed | April 7, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506278f881908b090b13706e5d4e |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:54 a.m.