Triple
T394381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel |
E8949
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
|
E49777
|
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: Coffee | Statement: [Miguel, notableSong, Coffee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee Context triple: [Miguel, notableSong, Coffee]
-
A.
Blue Mountains coffee
Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
-
B.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
C.
Cocoa
Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
-
D.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
-
E.
COFHE
COFHE is a consortium of highly selective private colleges and universities in the United States that collaborates on issues of financial aid, admissions, and institutional research.
- 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: Coffee Triple: [Miguel, notableSong, Coffee]
Generated description
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coffee Target entity description: "Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
A.
Blue Mountains coffee
Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
-
B.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
C.
Cocoa
Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
-
D.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
-
E.
COFHE
COFHE is a consortium of highly selective private colleges and universities in the United States that collaborates on issues of financial aid, admissions, and institutional research.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec77a8a08190b6f96373aa8c1346 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405fa43448190b3e78d83e791b105 |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a4070f76308190bd898dcdb27f3277 |
completed | March 1, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40794523081908839f90446beba83 |
completed | March 1, 2026, 9:32 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.