Triple
T4837704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akhmim |
E108101
|
entity |
| Predicate | majorDeityVenerated |
P7648
|
FINISHED |
| Object |
Repyt
Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
|
E475405
|
NE FINISHED |
How this triple was built (4 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: Repyt | Statement: [Akhmim, majorDeityVenerated, Repyt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Repyt Context triple: [Akhmim, majorDeityVenerated, Repyt]
-
A.
Pym
Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
-
B.
Pyr
Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
-
C.
Vyper
Vyper is a Pythonic, security-focused programming language used to write smart contracts on the Ethereum blockchain.
-
D.
Telepylus
Telepylus is the mythological city in Homer’s Odyssey that serves as the homeland of the man-eating giant Laestrygonians.
-
E.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Repyt Triple: [Akhmim, majorDeityVenerated, Repyt]
Generated description
Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Repyt Target entity description: Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
-
A.
Pym
Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
-
B.
Pyr
Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
-
C.
Vyper
Vyper is a Pythonic, security-focused programming language used to write smart contracts on the Ethereum blockchain.
-
D.
Telepylus
Telepylus is the mythological city in Homer’s Odyssey that serves as the homeland of the man-eating giant Laestrygonians.
-
E.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
- F. None of above. chosen
Provenance (5 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce2e810819089f9a3f2a7574d44 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc054ac819099d6d3dbf415e710 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be60d4fa0c8190b6d197eb3dbafff7 |
completed | March 21, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be61789d388190bc23d7f44cee2e5d |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:25 p.m.