Triple
T8782629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karol G |
E208768
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
KG0516
KG0516 is a critically acclaimed and commercially successful studio album by Colombian reggaeton singer Karol G that blends reggaeton, Latin pop, and urban influences.
|
E756822
|
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: KG0516 | Statement: [Karol G, notableAlbum, KG0516]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KG0516 Context triple: [Karol G, notableAlbum, KG0516]
-
A.
KB-50
KB-50 was an aerial refueling tanker variant of the B-50 Superfortress used by the United States Air Force during the early Cold War.
-
B.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
C.
K1
K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
-
D.
KG 53
KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
-
E.
KG
KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
- 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: KG0516 Triple: [Karol G, notableAlbum, KG0516]
Generated description
KG0516 is a critically acclaimed and commercially successful studio album by Colombian reggaeton singer Karol G that blends reggaeton, Latin pop, and urban influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KG0516 Target entity description: KG0516 is a critically acclaimed and commercially successful studio album by Colombian reggaeton singer Karol G that blends reggaeton, Latin pop, and urban influences.
-
A.
KB-50
KB-50 was an aerial refueling tanker variant of the B-50 Superfortress used by the United States Air Force during the early Cold War.
-
B.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
C.
K1
K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
-
D.
KG 53
KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
-
E.
KG
KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf5323b7c08190819de236e01ce9d3 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:42 p.m.