Triple
T5836033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anuket |
E129470
|
entity |
| Predicate | equivalentName |
P6530
|
FINISHED |
| Object |
Anukis
Anukis is an ancient Egyptian goddess associated primarily with the Nile’s cataracts and southern frontier, often linked to fertility and protection.
|
E549638
|
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: Anukis | Statement: [Anuket, equivalentName, Anukis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anukis Context triple: [Anuket, equivalentName, Anukis]
-
A.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
B.
Benthesikyme
Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
-
C.
Apedemak
Apedemak is a lion-headed war and fertility god venerated in the ancient Nubian kingdom of Meroë, often associated with royal power and protection.
-
D.
Astyanassa
Astyanassa is a figure from Greek mythology known primarily through genealogical references linking her to other mythic characters such as Pleistrus.
-
E.
Aravan
Aravan is a heroic figure from the Indian epic Mahabharata, revered in various regional traditions and often associated with themes of sacrifice and devotion.
- 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: Anukis Triple: [Anuket, equivalentName, Anukis]
Generated description
Anukis is an ancient Egyptian goddess associated primarily with the Nile’s cataracts and southern frontier, often linked to fertility and protection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anukis Target entity description: Anukis is an ancient Egyptian goddess associated primarily with the Nile’s cataracts and southern frontier, often linked to fertility and protection.
-
A.
Aegitna
Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
-
B.
Benthesikyme
Benthesikyme is a minor sea goddess in Greek mythology, known primarily as a daughter of Poseidon.
-
C.
Apedemak
Apedemak is a lion-headed war and fertility god venerated in the ancient Nubian kingdom of Meroë, often associated with royal power and protection.
-
D.
Astyanassa
Astyanassa is a figure from Greek mythology known primarily through genealogical references linking her to other mythic characters such as Pleistrus.
-
E.
Aravan
Aravan is a heroic figure from the Indian epic Mahabharata, revered in various regional traditions and often associated with themes of sacrifice and devotion.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a358708190bfce78e7bd75db36 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a196ebb88190aea57899be954aae |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a27765688190b02a1b0cd39a87fe |
completed | March 23, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2fd7ec081909033994e5556a6ae |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.