Triple
T18240521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilitch Charities |
E436795
|
entity |
| Predicate | associatedWith |
P37
|
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: [Ilitch Charities, associatedWith, Little Caesars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Caesars Context triple: [Ilitch Charities, associatedWith, 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.
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.
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.
-
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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e287548190b666a990e5b168b0 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.