Triple
T21416255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Johns |
E528302
|
entity |
| Predicate | brandNameStyle |
P14764
|
FINISHED |
| Object | Papa John’s |
—
|
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: Papa John’s | Statement: [Papa Johns, brandNameStyle, Papa John’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papa John’s Context triple: [Papa Johns, brandNameStyle, Papa John’s]
-
A.
Papa Johns
chosen
Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
-
B.
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.
-
C.
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.
-
D.
Little Caesars
Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
-
E.
Pizza Hut
Pizza Hut is a global American restaurant chain known for its pizza, pasta, and other Italian-American dishes, operating thousands of locations worldwide.
- 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.