Triple
T8831312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasha Goldberg |
E210148
|
entity |
| Predicate | namePartOrigin |
P5298
|
FINISHED |
| Object | Sasha is a diminutive of Alexander or Alexandra in Slavic languages |
—
|
LITERAL 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: Sasha is a diminutive of Alexander or Alexandra in Slavic languages | Statement: [Sasha Goldberg, namePartOrigin, Sasha is a diminutive of Alexander or Alexandra in Slavic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namePartOrigin Context triple: [Sasha Goldberg, namePartOrigin, Sasha is a diminutive of Alexander or Alexandra in Slavic languages]
-
A.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
B.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
C.
partOfName
chosen
Indicates that one string is a component or substring that forms part of another entity’s name.
-
D.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
E.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
- F. None of above.
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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604ed2b88190b4f53b34b5a438f7 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.