Triple
T5027495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberta Gator |
E113211
|
entity |
| Predicate | namePattern |
P60600
|
FINISHED |
| Object | pun on "alligator" |
—
|
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: pun on "alligator" | Statement: [Alberta Gator, namePattern, pun on "alligator"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namePattern Context triple: [Alberta Gator, namePattern, pun on "alligator"]
-
A.
nicknamePattern
Indicates that one entity serves as a nickname or informal name pattern for another entity.
-
B.
notationPattern
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
C.
namePrefix
Indicates that one entity is a prefix or leading part of another entity’s name.
-
D.
nameStyle
Indicates how an entity’s name is formatted or stylistically presented (e.g., capitalization, punctuation, or naming convention).
-
E.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.