Triple
T14999557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike’s Way |
E374047
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object | Jersey Mike’s |
E76535
|
NE FINISHED |
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: Jersey Mike’s | Statement: [Mike’s Way, associatedWithBrand, Jersey Mike’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jersey Mike’s Context triple: [Mike’s Way, associatedWithBrand, Jersey Mike’s]
-
A.
Jersey Mike’s Subs
chosen
Jersey Mike’s Subs is an American fast-casual sandwich chain known for its freshly sliced subs and cheesesteaks made to order.
-
B.
Jimmy John’s
Jimmy John’s is an American sandwich restaurant chain known for its fast service and customizable submarine sandwiches.
-
C.
Papa Murphy's
Papa Murphy's is a take-and-bake pizza chain where customers purchase uncooked pizzas to bake at home.
-
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.
Gino's Hamburgers
Gino's Hamburgers was a regional fast-food restaurant chain in the United States, best known for its hamburgers and association with former NFL star Gino Marchetti.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87725348190a0da7555b62adbdc |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 2:54 a.m.