Triple
T10138066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anselm Feuerbach |
E226910
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nanna |
E363315
|
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: Nanna | Statement: [Anselm Feuerbach, notableWork, Nanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanna Context triple: [Anselm Feuerbach, notableWork, Nanna]
-
A.
Nanna
Nanna is the Sumerian moon god, a major deity associated with wisdom, fertility, and the measurement of time.
-
B.
Nanna
chosen
Nanna is a goddess in Norse mythology, best known as the wife of Baldr and a symbol of love, loyalty, and grief.
-
C.
Ninhursag
Ninhursag is a major Sumerian mother goddess associated with fertility, mountains, and the earth.
-
D.
Ninurtu
Ninurtu is an alternative name or spelling for Ninurta, a Mesopotamian god associated with war, hunting, and agriculture.
-
E.
Ninlil
Ninlil is a Mesopotamian goddess, traditionally known as the wife of the god Enlil and associated with air, grain, and the city of Nippur.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde88344a481909ee833451fab6e58 |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e27c2dc8190a5b3173fbcb01114 |
completed | April 10, 2026, 4:35 a.m. |
Created at: March 30, 2026, 9:06 p.m.