Triple
T28286055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bearkats |
E713282
|
entity |
| Predicate | nicknameSpelling |
P58262
|
FINISHED |
| Object | Bearkats |
—
|
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: Bearkats | Statement: [Bearkats, nicknameSpelling, Bearkats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameSpelling Context triple: [Bearkats, nicknameSpelling, Bearkats]
-
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.
nameSpellingStandardized
Indicates that an entity’s name has been normalized to a consistent, standardized spelling form.
-
C.
nicknamePattern
chosen
Indicates that one entity serves as a nickname or informal name pattern for another entity.
-
D.
nicknameUsageTone
Indicates the tone or emotional quality conveyed when a particular nickname is used for someone or something.
-
E.
nicknameCoinedIn
Indicates that a particular nickname was first created, introduced, or came into use in a specified time or context.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6447f85248190b71fc247d284971d |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:26 p.m.