Triple
T5624682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Johns Trophy |
E147690
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Papa Johns
Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
|
E528302
|
NE FINISHED |
How this triple was built (4 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 Johns | Statement: [Papa Johns Trophy, sponsor, Papa Johns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papa Johns Context triple: [Papa Johns Trophy, sponsor, Papa Johns]
-
A.
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.
-
B.
Little Caesars
Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
-
C.
Panera Bread
Panera Bread is a popular American fast-casual restaurant and bakery chain known for its soups, salads, sandwiches, and freshly baked bread.
-
D.
Pizzaman
Pizzaman is an electronic music project and alias of British DJ and producer Norman Cook, better known as Fatboy Slim.
-
E.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Papa Johns Triple: [Papa Johns Trophy, sponsor, Papa Johns]
Generated description
Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Papa Johns Target entity description: Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
-
A.
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.
-
B.
Little Caesars
Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
-
C.
Panera Bread
Panera Bread is a popular American fast-casual restaurant and bakery chain known for its soups, salads, sandwiches, and freshly baked bread.
-
D.
Pizzaman
Pizzaman is an electronic music project and alias of British DJ and producer Norman Cook, better known as Fatboy Slim.
-
E.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
- F. None of above. chosen
Provenance (5 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022165d8c8190b2a14f1cd0a45ecc |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287fcde881908f761b701bf9a4f3 |
completed | March 22, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69c03894b9388190bd534ad107722b83 |
completed | March 22, 2026, 6:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03932eb8c8190a572d4ae3831c9dc |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:40 p.m.