Triple
T14474617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. Love & Special Sauce |
E358935
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Cold Beverage
"Cold Beverage" is a laid-back, bluesy hip-hop track by G. Love & Special Sauce that became one of the band’s signature songs in the 1990s.
|
E1101664
|
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: Cold Beverage | Statement: [G. Love & Special Sauce, notableSong, Cold Beverage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold Beverage Context triple: [G. Love & Special Sauce, notableSong, Cold Beverage]
-
A.
PureDrink
PureDrink is a spiritually symbolic beverage representing the pure, blessed refreshment granted to the righteous in religious or moral teachings.
-
B.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
-
C.
Summer Shandy
Summer Shandy is a popular seasonal wheat beer from Leinenkugel’s brewed with lemonade flavor, known for its light, refreshing taste.
-
D.
Polar Beverages
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
-
E.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
- 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: Cold Beverage Triple: [G. Love & Special Sauce, notableSong, Cold Beverage]
Generated description
"Cold Beverage" is a laid-back, bluesy hip-hop track by G. Love & Special Sauce that became one of the band’s signature songs in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cold Beverage Target entity description: "Cold Beverage" is a laid-back, bluesy hip-hop track by G. Love & Special Sauce that became one of the band’s signature songs in the 1990s.
-
A.
PureDrink
PureDrink is a spiritually symbolic beverage representing the pure, blessed refreshment granted to the righteous in religious or moral teachings.
-
B.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
-
C.
Summer Shandy
Summer Shandy is a popular seasonal wheat beer from Leinenkugel’s brewed with lemonade flavor, known for its light, refreshing taste.
-
D.
Polar Beverages
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
-
E.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a0553081909fd88d8f39ed1a01 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd698579588190a49f6c7a91266117 |
completed | May 8, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6a6060488190ab5662037b52c591 |
completed | May 8, 2026, 4:45 a.m. |
Created at: April 10, 2026, 1:20 a.m.