Triple
T14226052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty |
E352618
|
entity |
| Predicate | nameShorteningType |
P83434
|
FINISHED |
| Object | diminutive |
—
|
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: diminutive | Statement: [Betty, nameShorteningType, diminutive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameShorteningType Context triple: [Betty, nameShorteningType, diminutive]
-
A.
termShortenedBy
Indicates that one term is a shortened, abbreviated, or truncated form derived from another term.
-
B.
abbreviationLength
Indicates that the relationship specifies or measures the length (number of characters) of an abbreviation associated with an entity.
-
C.
shortFormType
chosen
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
D.
commonShortNameFor
Indicates that one entity is a commonly used short or abbreviated name for another entity.
-
E.
abbreviationOfUser
Indicates that one entity is an abbreviated or shortened form of another entity associated with a user.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.