Triple
T32338552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy |
E826241
|
entity |
| Predicate | hasAbbreviationOrShortFormOf |
P127294
|
FINISHED |
| Object | Randall |
—
|
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: Randall | Statement: [Randy, hasAbbreviationOrShortFormOf, Randall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationOrShortFormOf Context triple: [Randy, hasAbbreviationOrShortFormOf, Randall]
-
A.
hasAbbreviationOrForm
chosen
Indicates that one entity serves as an abbreviation, shortened form, or alternative written form of another entity.
-
B.
usesAbbreviationOf
Indicates that one entity employs a shortened or abbreviated form of the name or designation of another entity.
-
C.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
D.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
E.
canBeUsedWithAbbreviation
Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be1c950c8190afe0ba37c1704c29 |
completed | May 3, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:48 a.m.