Triple
T28286056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bearkats |
E713282
|
entity |
| Predicate | nicknameSpellingNote |
P164669
|
FINISHED |
| Object | spelled with a 'k' instead of 'c' |
—
|
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: spelled with a 'k' instead of 'c' | Statement: [Bearkats, nicknameSpellingNote, spelled with a 'k' instead of 'c']
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameSpellingNote Context triple: [Bearkats, nicknameSpellingNote, spelled with a 'k' instead of 'c']
-
A.
nicknameEmphasizes
Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
-
B.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
C.
nameSpellingStandardized
Indicates that an entity’s name has been normalized to a consistent, standardized spelling form.
-
D.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
-
E.
nicknamePattern
Indicates that one entity serves as a nickname or informal name pattern for another entity.
- F. None of above. chosen
Provenance (4 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 27, 2026, 11:26 p.m.