Triple
T6598429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doublemint |
E148534
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Mars, Incorporated |
E522669
|
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: Mars, Incorporated | Statement: [Doublemint, ownedBy, Mars, Incorporated]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mars, Incorporated Context triple: [Doublemint, ownedBy, Mars, Incorporated]
-
A.
Mars, Incorporated
chosen
Mars, Incorporated is a major American multinational manufacturer of confectionery, pet food, and other food products, known for brands such as M&M’s, Snickers, and Pedigree.
-
B.
Mondelez International
Mondelez International is a global snack and confectionery company known for brands like Oreo, Cadbury, and Toblerone.
-
C.
Inspire Brands
Inspire Brands is a large American multi-brand restaurant company that owns and operates chains such as Arby’s, Buffalo Wild Wings, Sonic Drive-In, and Dunkin’.
-
D.
Nabisco
Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
-
E.
Life Savers, Inc.
Life Savers, Inc. is the confectionery company best known for producing the ring-shaped Life Savers hard candies.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbc3ee188190a285110707a895b6 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:56 p.m.