Triple
T9427497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrina Carpenter |
E227292
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Short n’ Sweet
Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
|
E798643
|
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: Short n’ Sweet | Statement: [Sabrina Carpenter, notableWork, Short n’ Sweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short n’ Sweet Context triple: [Sabrina Carpenter, notableWork, Short n’ Sweet]
-
A.
Shorty
Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
-
B.
Shortie No Mass
Shortie No Mass is an American rapper known for her collaborations with The Roots and appearances on their early 1990s hip-hop recordings.
-
C.
Short Cuts
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
D.
Short Cuts
Short Cuts is a 1993 ensemble drama film directed by Robert Altman, adapted from Raymond Carver’s short stories and known for its interwoven narratives about Los Angeles residents.
-
E.
Short Cuts
Short Cuts is a regular column in the London Review of Books featuring brief, incisive commentary on current events, culture, and politics.
- 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: Short n’ Sweet Triple: [Sabrina Carpenter, notableWork, Short n’ Sweet]
Generated description
Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Short n’ Sweet Target entity description: Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
-
A.
Shorty
Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
-
B.
Shortie No Mass
Shortie No Mass is an American rapper known for her collaborations with The Roots and appearances on their early 1990s hip-hop recordings.
-
C.
Short Cuts
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
D.
Short Cuts
Short Cuts is a 1993 ensemble drama film directed by Robert Altman, adapted from Raymond Carver’s short stories and known for its interwoven narratives about Los Angeles residents.
-
E.
Short Cuts
Short Cuts is a regular column in the London Review of Books featuring brief, incisive commentary on current events, culture, and politics.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107dd5bcc8190b3f0fdecf296fe29 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d10890519c8190a1affc040c1d6a8f |
completed | April 4, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108f10fb48190968ae57799dd017c |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:49 p.m.