Triple
T19082508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | En Sof |
E467065
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Ein Sof |
—
|
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: Ein Sof | Statement: [En Sof, alternativeName, Ein Sof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ein Sof Context triple: [En Sof, alternativeName, Ein Sof]
-
A.
Ein Sof
chosen
Ein Sof is the Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation and manifestation.
-
B.
Sofy
Sofy is a software testing platform that provides no-code, AI-driven tools for automated mobile and web app testing.
-
C.
Sofades
Sofades is a town and municipality in central Greece, located in the Thessaly region within the Karditsa regional unit.
-
D.
Söphchen
Söphchen is a German affectionate diminutive form of the given name Sophie.
-
E.
Sofina
Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.