Triple
T23358030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldo Nova |
E593103
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fantasy
"Fantasy" is a 1982 rock song by Canadian musician Aldo Nova, best known for its catchy guitar riff and enduring popularity on classic rock radio.
|
E1582234
|
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: Fantasy | Statement: [Aldo Nova, notableWork, Fantasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fantasy Context triple: [Aldo Nova, notableWork, Fantasy]
-
A.
Fantasy
"Fantasy" is a 1973 studio album by American singer-songwriter Carole King that blends pop, soul, and jazz influences and is noted for its conceptual, suite-like structure.
-
B.
Fantasy
"Fantasy" is a popular song by Mariah Carey, known for its catchy hook and prominent sampling of Tom Tom Club’s "Genius of Love."
-
C.
Fantasy
Fantasy is a speculative fiction genre featuring magical elements, imaginary worlds, and supernatural creatures that are not bound by the rules of the real world.
-
D.
Fantasy
Fantasy is a whimsical, fantasy-themed area in the Phantasialand amusement park known for its imaginative attractions and immersive design.
-
E.
Fantasy
"Fantasy" is a song by the French electronic music band M83, known for its atmospheric, cinematic sound and emotional, synth-driven style.
- 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: Fantasy Triple: [Aldo Nova, notableWork, Fantasy]
Generated description
"Fantasy" is a 1982 rock song by Canadian musician Aldo Nova, best known for its catchy guitar riff and enduring popularity on classic rock radio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fantasy Target entity description: "Fantasy" is a 1982 rock song by Canadian musician Aldo Nova, best known for its catchy guitar riff and enduring popularity on classic rock radio.
-
A.
Fantasy
"Fantasy" is a 1973 studio album by American singer-songwriter Carole King that blends pop, soul, and jazz influences and is noted for its conceptual, suite-like structure.
-
B.
Fantasy
"Fantasy" is a popular song by Mariah Carey, known for its catchy hook and prominent sampling of Tom Tom Club’s "Genius of Love."
-
C.
Fantasy
Fantasy is a whimsical, fantasy-themed area in the Phantasialand amusement park known for its imaginative attractions and immersive design.
-
D.
Fantasy
"Fantasy" is a song by the French electronic music band M83, known for its atmospheric, cinematic sound and emotional, synth-driven style.
-
E.
Fantasy
Fantasy is a speculative fiction genre featuring magical elements, imaginary worlds, and supernatural creatures that are not bound by the rules of the real world.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a196b308190bfe9bb4b6e7ec363 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd1c02c8190bf474938083d8ae3 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5e7eb7b481908b3cece1823cf785 |
completed | May 19, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5eef81e48190b62da26fb8d65223 |
completed | May 19, 2026, 1 p.m. |
Created at: April 17, 2026, 5:29 p.m.