Triple
T6500342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss |
E148866
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Lick It Up |
E600429
|
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: Lick It Up | Statement: [Kiss, notableSong, Lick It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lick It Up Context triple: [Kiss, notableSong, Lick It Up]
-
A.
Lick It Up
chosen
Lick It Up is a 1983 hard rock album by Kiss that marked the band’s first release without their trademark makeup and helped revitalize their commercial success in the 1980s.
-
B.
Doin' It
"Doin' It" is a mid-1990s hip hop single by LL Cool J known for its smooth, sensual vibe and catchy chorus.
-
C.
Lips Are Movin
"Lips Are Movin" is a 2014 upbeat pop song by Meghan Trainor known for its catchy retro-inspired sound and sassy lyrics about dishonesty in relationships.
-
D.
Roll With It
"Roll With It" is a 1995 Britpop single by English rock band Oasis, known for its upbeat, anthemic style and its role in the famous chart battle with Blur.
-
E.
Lemme Get That
"Lemme Get That" is an R&B/hip hop-influenced track by Rihanna from her album *Good Girl Gone Bad*, known for its assertive lyrics and club-ready production.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad2e148819088be5c48ad73dc59 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5089ea48190b75638f86398da5a |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:42 p.m.