Triple
T16197267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahmunrah |
E393094
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Ahkmenrah |
E399641
|
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: Ahkmenrah | Statement: [Kahmunrah, hasSibling, Ahkmenrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahkmenrah Context triple: [Kahmunrah, hasSibling, Ahkmenrah]
-
A.
Ahkmenrah
chosen
Ahkmenrah is a fictional ancient Egyptian pharaoh whose magical tablet brings museum exhibits to life in the "Night at the Museum" film series.
-
B.
Dankaur
Dankaur is a town in the Indian state of Uttar Pradesh, situated within the rapidly developing National Capital Region near Delhi.
-
C.
Hyrkoon
Hyrkoon is a remote, mountainous region in the far east of the world of *A Song of Ice and Fire*, associated with ancient legends and the warrior-king Hyrkoon the Hero.
-
D.
Per-Amun
Per-Amun is the ancient Egyptian name for Pelusium, a prominent frontier city in the eastern Nile Delta that served as a key military and trade gateway between Egypt and the Near East.
-
E.
Atayi
Atayi was an important poet of Chagatai Turkish literature, known for contributing to the classical Turkic poetic tradition.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dace848190b1a98e47333b922b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0f352081908324783743e47029 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.