Triple
T8994462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Only Fascination |
E214868
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object |
pop
Pop is a mainstream music genre characterized by catchy melodies, simple song structures, and broad commercial appeal.
|
E771728
|
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: pop | Statement: [My Only Fascination, genre, pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pop Context triple: [My Only Fascination, genre, pop]
-
A.
POP
POP (Post Office Protocol) is a standard email protocol used by mail clients to retrieve messages from a remote server, typically downloading them for offline access.
-
B.
Pop
Pop is an American cable television network known for airing entertainment programming including reruns, original series, and special events.
-
C.
Pop
Pop is U2’s 1997 studio album that blends alternative rock with electronic and dance influences, reflecting the band’s experimental phase in the late 1990s.
-
D.
Pop
Pop is a character in Ernest Hemingway’s nonfiction work "Green Hills of Africa," representing one of the hunting companions during his African safari.
-
E.
Pop
Pop is the nickname of Glenn Scobey "Pop" Warner, a pioneering early 20th-century American football coach known for his innovative strategies and lasting influence on the sport.
- 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: pop Triple: [My Only Fascination, genre, pop]
Generated description
Pop is a mainstream music genre characterized by catchy melodies, simple song structures, and broad commercial appeal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: pop Target entity description: Pop is a mainstream music genre characterized by catchy melodies, simple song structures, and broad commercial appeal.
-
A.
POP
POP (Post Office Protocol) is a standard email protocol used by mail clients to retrieve messages from a remote server, typically downloading them for offline access.
-
B.
Pop
Pop is an American cable television network known for airing entertainment programming including reruns, original series, and special events.
-
C.
Pop
Pop is U2’s 1997 studio album that blends alternative rock with electronic and dance influences, reflecting the band’s experimental phase in the late 1990s.
-
D.
Pop
Pop is a character in Ernest Hemingway’s nonfiction work "Green Hills of Africa," representing one of the hunting companions during his African safari.
-
E.
Pop
Pop is the nickname of Glenn Scobey "Pop" Warner, a pioneering early 20th-century American football coach known for his innovative strategies and lasting influence on the sport.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0cd2b948190947a26fe11ad81bf |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd27680408190a5ebcebacf9e4303 |
completed | April 3, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2dbf3cc81909589bd9467239573 |
completed | April 3, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:04 p.m.