Triple
T8651788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraft Foods |
E205116
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Maxwell House
Maxwell House is a long-standing American coffee brand known for its mass-market ground and instant coffees and the slogan "Good to the last drop."
|
E749767
|
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: Maxwell House | Statement: [Kraft Foods, brand, Maxwell House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxwell House Context triple: [Kraft Foods, brand, Maxwell House]
-
A.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
B.
Lipton
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
-
C.
Seattle’s Best Coffee
Seattle’s Best Coffee is a U.S.-based coffee retailer and brand known for its approachable, smooth coffee offerings and ownership by Starbucks.
-
D.
Sanka Coffie
Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
-
E.
Marley Coffee
Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
- 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: Maxwell House Triple: [Kraft Foods, brand, Maxwell House]
Generated description
Maxwell House is a long-standing American coffee brand known for its mass-market ground and instant coffees and the slogan "Good to the last drop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maxwell House Target entity description: Maxwell House is a long-standing American coffee brand known for its mass-market ground and instant coffees and the slogan "Good to the last drop."
-
A.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
B.
Lipton
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
-
C.
Seattle’s Best Coffee
Seattle’s Best Coffee is a U.S.-based coffee retailer and brand known for its approachable, smooth coffee offerings and ownership by Starbucks.
-
D.
Sanka Coffie
Sanka Coffie is the laid-back, humorous pushcart driver and brakeman who provides comic relief and heart in the Jamaican bobsled team in the film "Cool Runnings."
-
E.
Marley Coffee
Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece1681288190a6c99407bc2f0bdd |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecec118ac81909fbcafe841354c32 |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:29 p.m.