Triple
T5964134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yum! Brands |
E132710
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Taco Bell Corp. |
E559052
|
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: Taco Bell Corp. | Statement: [Yum! Brands, hasSubsidiary, Taco Bell Corp.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taco Bell Corp. Context triple: [Yum! Brands, hasSubsidiary, Taco Bell Corp.]
-
A.
Taco Bell
chosen
Taco Bell is a major American fast-food chain known for its Mexican-inspired menu items such as tacos, burritos, and quesadillas.
-
B.
Chipotle Mexican Grill
Chipotle Mexican Grill is a popular American fast-casual restaurant chain known for its customizable burritos, bowls, and tacos made with fresh ingredients.
-
C.
Yum! Brands
Yum! Brands is a major American fast-food corporation that owns and operates global restaurant chains such as KFC, Taco Bell, and Pizza Hut.
-
D.
Chili’s Grill & Bar
Chili’s Grill & Bar is a popular American casual dining restaurant chain known for its Tex-Mex–inspired menu and laid-back, family-friendly atmosphere.
-
E.
Carl's Jr.
Carl's Jr. is an American fast-food restaurant chain known for its charbroiled burgers and often provocative advertising campaigns.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a0240cc81909d7c75c7e6d630f7 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113585ad88190a35d549448b10def |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:03 p.m.