Triple
T22454183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Tollin |
E555069
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Good Burger |
—
|
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: Good Burger | Statement: [Mike Tollin, notableWork, Good Burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Burger Context triple: [Mike Tollin, notableWork, Good Burger]
-
A.
Good Burger
chosen
Good Burger is a 1997 comedy film based on a popular Nickelodeon sketch, following two quirky fast-food employees as they try to save their burger joint from a rival chain.
-
B.
Good Burger 2
Good Burger 2 is a 2023 comedy film sequel that reunites Kenan Thompson and Kel Mitchell as fast-food workers in a revival of their popular 1990s Nickelodeon movie.
-
C.
Joyful Burger Street
Joyful Burger Street is a fictional street in the Jelmore setting, likely characterized by fast-food eateries and a lively, upbeat atmosphere.
-
D.
Die Burger
Die Burger is a prominent Afrikaans-language daily newspaper published in South Africa, known for its regional and national news coverage.
-
E.
Beyond Burger
Beyond Burger is a popular plant-based burger patty designed to closely mimic the taste and texture of beef while being made entirely from non-animal ingredients.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4e2bd4819083e5bed44e9776c6 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.