Triple
T18867239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anpu |
E461470
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object | Anput |
—
|
NE NERFINISHED |
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: Anput | Statement: [Anpu, consort, Anput]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anput Context triple: [Anpu, consort, Anput]
-
A.
Anput
chosen
Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
-
B.
Axim
Axim is a coastal town in southwestern Ghana known for its historic forts, fishing industry, and beaches along the Atlantic Ocean.
-
C.
Ampari
Ampari is a lesser-known Dogon language variety spoken by a small community in Mali.
-
D.
Aparan
Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
-
E.
Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a617548190be6044bf2c3de6d0 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.