Triple
T23375630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siren |
E593597
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Whirlwind
"Whirlwind" is a song by the band Siren, likely showcasing their characteristic style and musical themes.
|
E1584333
|
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: Whirlwind | Statement: [Siren, hasTrack, Whirlwind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whirlwind Context triple: [Siren, hasTrack, Whirlwind]
-
A.
Whirlwind
Whirlwind is a compact steel spinning roller coaster known for its tight turns and family-friendly thrills at Seabreeze Amusement Park.
-
B.
Whirlwind
Whirlwind is a dragon-unicorn hybrid Skylander known for her mastery of air and rainbow-based attacks in the Skylanders video game series.
-
C.
Whirlwind
Whirlwind is a Marvel Comics supervillain known for his high-speed spinning abilities and frequent battles against the Avengers, particularly Ant-Man and the Wasp.
-
D.
Whirlwind
"Whirlwind" is a song by the American rock band Bitter Sweet, known for its energetic style and emotionally charged lyrics.
-
E.
Whirlwind
Whirlwind is a historical novel by James Clavell that dramatizes the experiences of a helicopter company and its multinational staff during the 1979 Iranian Revolution.
- 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: Whirlwind Triple: [Siren, hasTrack, Whirlwind]
Generated description
"Whirlwind" is a song by the band Siren, likely showcasing their characteristic style and musical themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whirlwind Target entity description: "Whirlwind" is a song by the band Siren, likely showcasing their characteristic style and musical themes.
-
A.
Whirlwind
Whirlwind is a dragon-unicorn hybrid Skylander known for her mastery of air and rainbow-based attacks in the Skylanders video game series.
-
B.
Whirlwind
Whirlwind is a Marvel Comics supervillain known for his high-speed spinning abilities and frequent battles against the Avengers, particularly Ant-Man and the Wasp.
-
C.
Whirlwind
Whirlwind is a compact steel spinning roller coaster known for its tight turns and family-friendly thrills at Seabreeze Amusement Park.
-
D.
Whirlwind
Whirlwind is a historical novel by James Clavell that dramatizes the experiences of a helicopter company and its multinational staff during the 1979 Iranian Revolution.
-
E.
Whirlwind
"Whirlwind" is a song by the American rock band Bitter Sweet, known for its energetic style and emotionally charged lyrics.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b2fe9081909cc002abe50dad2a |
completed | April 29, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5de1c1748190994c4a95d0592fef |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c62554bbc8190bf8b2302f1e4be01 |
completed | May 19, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62f9fba081908d822630e09d3bee |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 5:33 p.m.