Triple
T694991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rihanna |
E13875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Loud
Loud is a 2010 studio album by Barbadian singer Rihanna that blends pop, dance, and R&B and features hits like "Only Girl (In the World)" and "What's My Name?".
|
E85472
|
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: Loud | Statement: [Rihanna, notableWork, Loud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loud Context triple: [Rihanna, notableWork, Loud]
-
A.
Yell
Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
Crazy
"Crazy" is a classic country ballad written by Willie Nelson and made famous by Patsy Cline, renowned for its poignant lyrics and timeless melody.
-
D.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
E.
White Noise
White Noise is a postmodern novel by Don DeLillo that satirically explores contemporary American life, consumer culture, and the pervasive fear of death through the story of a college professor and his family.
- 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: Loud Triple: [Rihanna, notableWork, Loud]
Generated description
Loud is a 2010 studio album by Barbadian singer Rihanna that blends pop, dance, and R&B and features hits like "Only Girl (In the World)" and "What's My Name?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loud Target entity description: Loud is a 2010 studio album by Barbadian singer Rihanna that blends pop, dance, and R&B and features hits like "Only Girl (In the World)" and "What's My Name?".
-
A.
Yell
Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
-
B.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
C.
Crazy
"Crazy" is a classic country ballad written by Willie Nelson and made famous by Patsy Cline, renowned for its poignant lyrics and timeless melody.
-
D.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
E.
White Noise
White Noise is a postmodern novel by Don DeLillo that satirically explores contemporary American life, consumer culture, and the pervasive fear of death through the story of a college professor and his family.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca9aa9c8190a113e782988aa7f8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5e70510908190bcbd1c46629d05f5 |
completed | March 2, 2026, 7:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a60989aac08190a324c8d9889086f5 |
completed | March 2, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:36 p.m.