Triple
T14833261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Anka |
E348761
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Anka |
E652916
|
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: Anka | Statement: [Amanda Anka, familyName, Anka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anka Context triple: [Amanda Anka, familyName, Anka]
-
A.
Anka
chosen
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
-
B.
Ani
Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
-
C.
Ani
Ani is the Igbo earth goddess associated with morality, fertility, and the underworld in the Odinani traditional religion.
-
D.
Ani
Ani was an ancient Egyptian scribe whose funerary text, the Papyrus of Ani, is one of the most famous and complete illustrated versions of the Book of the Dead.
-
E.
Ani
Ani is an Etruscan sky and supreme deity, often associated with the heavens and divine authority in Etruscan religion.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded075af0881908fb35a9e7ee46749 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a393988190837fdca148f4058c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.