Triple
T23209806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skin Deep |
E580558
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Skin Deep |
—
|
NE NERFINISHED |
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: Skin Deep | Statement: [Skin Deep, title, Skin Deep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skin Deep Context triple: [Skin Deep, title, Skin Deep]
-
A.
Skin Deep
"Skin Deep" is a famous jazz drum feature composed by legendary drummer Louie Bellson, renowned for showcasing virtuosic soloing and big band energy.
-
B.
Skin Deep
chosen
"Skin Deep" is a 1984 new wave/rock single by British band The Stranglers, known for its melodic sound and introspective lyrics about emotional vulnerability.
-
C.
Skin Deep
"Skin Deep" is a 1989 romantic comedy film starring John Ritter as a womanizing writer whose misadventures in love lead to comic and personal crises.
-
D.
Beneath the Skin
"Beneath the Skin" is the second studio album by Icelandic indie folk/pop band Of Monsters and Men, known for its atmospheric sound and introspective lyrics.
-
E.
Dig Deep
"Dig Deep" is a song included on the album "Bombshell."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191609c64819096ace0d286d36f76 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.