Triple
T21416266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Johns |
E528302
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Little Caesars |
—
|
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: Little Caesars | Statement: [Papa Johns, competitor, Little Caesars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Caesars Context triple: [Papa Johns, competitor, Little Caesars]
-
A.
Little Caesars
chosen
Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
-
B.
Papa Johns
Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
-
C.
Papa John
Papa John was an American folk musician best known as the charismatic leader and founder of the 1960s vocal group The Mamas & the Papas.
-
D.
Domino's Pizza
Domino's Pizza is a global pizza delivery and carryout restaurant chain known for its extensive franchise network and emphasis on quick, convenient service.
-
E.
Boardwalk Pizza & Pasta
Boardwalk Pizza & Pasta is a casual quick-service restaurant in Disney California Adventure Park known for serving pizza, pasta, and salads in a boardwalk-themed setting.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b205d17c8190b9b6b5708658f9be |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:46 p.m.