Triple
T16556198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beautiful South |
E402207
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Perfect 10 |
E1219746
|
NE FINISHED |
How this triple was built (2 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: Perfect 10 | Statement: [The Beautiful South, notableWork, Perfect 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfect 10 Context triple: [The Beautiful South, notableWork, Perfect 10]
-
A.
Perfect 10
chosen
"Perfect 10" is a popular 1998 pop song by British singer-songwriter Paul Heaton’s band The Beautiful South, known for its witty lyrics about body image and beauty standards.
-
B.
The Perfect 10
The Perfect 10 is an album by the artist Hello Friday, showcasing their polished pop sound and songwriting style.
-
C.
Perfect Ten
Perfect Ten is a hip-hop album best known for its polished production and collaborations with prominent rap artists.
-
D.
Best of the Best
Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
-
E.
The Best at It
The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc99f648190b40869ce52d351c8 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eddb01081908e7ab59264199e15 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.