Triple
T1129404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastet |
E24792
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Maat
Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
|
E133376
|
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: Maat | Statement: [Bastet, sibling, Maat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maat Context triple: [Bastet, sibling, Maat]
-
A.
Sothis
Sothis is an ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s inundation and often linked with the goddess Isis.
-
B.
Geb
Geb is the ancient Egyptian god of the earth, often depicted as a reclining man beneath the sky goddess Nut and associated with fertility, vegetation, and the underworld.
-
C.
Thinis
Thinis was an ancient Egyptian city traditionally regarded as the early dynastic capital and the center of the first pharaonic unification of Egypt.
-
D.
Nunki
Nunki is a prominent blue-white star in the constellation Sagittarius, known as one of its brightest and most easily recognizable members.
-
E.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
- 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: Maat Triple: [Bastet, sibling, Maat]
Generated description
Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maat Target entity description: Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
-
A.
Sothis
Sothis is an ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s inundation and often linked with the goddess Isis.
-
B.
Geb
Geb is the ancient Egyptian god of the earth, often depicted as a reclining man beneath the sky goddess Nut and associated with fertility, vegetation, and the underworld.
-
C.
Thinis
Thinis was an ancient Egyptian city traditionally regarded as the early dynastic capital and the center of the first pharaonic unification of Egypt.
-
D.
Nunki
Nunki is a prominent blue-white star in the constellation Sagittarius, known as one of its brightest and most easily recognizable members.
-
E.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdea9b88190a88da718bf5c1897 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667454848190acedaaa3ce7edb84 |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac670b57808190bee4aa0be78ae8a1 |
completed | March 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac67e981e88190b10ad4ab72337557 |
completed | March 7, 2026, 6:01 p.m. |
Created at: March 1, 2026, 7:44 p.m.