Triple
T12889090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E61 |
E308310
|
entity |
| Predicate | modelNumber |
P8607
|
FINISHED |
| Object |
E61
E61 is a Nokia Eseries smartphone designed primarily for business users, featuring a full QWERTY keyboard and advanced email capabilities.
|
E1009228
|
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: E61 | Statement: [Nokia E61, modelNumber, E61]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E61 Context triple: [Nokia E61, modelNumber, E61]
-
A.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
B.
Nespresso
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
C.
Tassimo
Tassimo is a single-serve hot beverage system brand known for its coffee and other drink pods, originally developed and marketed by Kraft Foods.
-
D.
Dolce Gusto
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
E.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
- 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: E61 Triple: [Nokia E61, modelNumber, E61]
Generated description
E61 is a Nokia Eseries smartphone designed primarily for business users, featuring a full QWERTY keyboard and advanced email capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E61 Target entity description: E61 is a Nokia Eseries smartphone designed primarily for business users, featuring a full QWERTY keyboard and advanced email capabilities.
-
A.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
-
B.
Nespresso
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
C.
Tassimo
Tassimo is a single-serve hot beverage system brand known for its coffee and other drink pods, originally developed and marketed by Kraft Foods.
-
D.
Dolce Gusto
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
E.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5598ad08190bad57ccfb4e4e2b6 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a62ca8b48190b3a1483801fe5bb9 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a82cdf648190aaad99d2951f22b3 |
completed | May 3, 2026, 1:43 a.m. |
Created at: April 9, 2026, 5:39 p.m.