Triple
T26618794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Kahuna Burger |
E668135
|
entity |
| Predicate | inspiredRealWorldImitations |
P165047
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Big Kahuna Burger, inspiredRealWorldImitations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredRealWorldImitations Context triple: [Big Kahuna Burger, inspiredRealWorldImitations, true]
-
A.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other entity.
-
B.
influencedByRealWorldConcept
Indicates that something is shaped, inspired, or determined by an existing concept, phenomenon, or principle from the real world.
-
C.
inspiredWorksOf
Indicates that one entity served as the source of inspiration or creative influence for the works produced by another entity.
-
D.
inspiredRealWorldAttraction
Indicates that one entity served as the creative basis or model for a real-world attraction associated with the other entity.
-
E.
inspiredRealWorldSport
Indicates that one entity served as the real-world sport that influenced or inspired the creation, design, or concept of 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 2:20 a.m.