Triple
T6503585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aha |
E148950
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Khenthap |
E582824
|
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: Khenthap | Statement: [Aha, spouse, Khenthap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khenthap Context triple: [Aha, spouse, Khenthap]
-
A.
Khenthap
chosen
Khenthap was an early ancient Egyptian queen, likely of the 1st Dynasty, known primarily as the consort of King Hor-Aha and possibly the mother of his successor.
-
B.
Merenkahre
Merenkahre is an ancient Egyptian pharaoh character in the "Night at the Museum" film series, depicted as the father of Ahkmenrah.
-
C.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
D.
Kauthara
Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
-
E.
Kha
Kha is an alternative name or variant spelling of the ancient Egyptian concept of the "ka," the vital spiritual essence or life force of a person.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c699647ad08190ac0bfd78907d0c3b |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb3c524481909d9c822e928dc821 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:42 p.m.