Triple
T26418676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Friedman |
E664166
|
entity |
| Predicate | nameHasVariant |
P114358
|
FINISHED |
| Object | Jon Friedman |
—
|
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: Jon Friedman | Statement: [Jonathan Friedman, nameHasVariant, Jon Friedman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameHasVariant Context triple: [Jonathan Friedman, nameHasVariant, Jon Friedman]
-
A.
surnameVariant
Indicates that one surname is an alternative spelling, form, or variation of another surname.
-
B.
hasOfficialNameVariant
Indicates that an entity has an alternative official form or version of its name.
-
C.
hasNameVariantType
chosen
Indicates that one name is a specific type or variant of another name, such as an alias, abbreviation, or alternative spelling.
-
D.
hasEthnonymVariant
Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
-
E.
authorNameVariant
Indicates that an entity has an alternative or variant form of its author name, such as different spellings, transliterations, or name formats.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61138a81c81908dbb9ad45436b3c1 |
completed | May 2, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:41 p.m.