Triple
T9058422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slippery When Wet |
E217061
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Social Disease |
E740982
|
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: Social Disease | Statement: [Slippery When Wet, track, Social Disease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Social Disease Context triple: [Slippery When Wet, track, Social Disease]
-
A.
Social Disease
chosen
"Social Disease" is a rock-influenced track by Elton John that blends brassy instrumentation with satirical lyrics about urban decadence and moral decline.
-
B.
Green Disease
"Green Disease" is a politically charged rock song by Pearl Jam that critiques consumerism and greed.
-
C.
Your Disease
"Your Disease" is a song by the American rock band Saliva, known for its aggressive nu-metal style and prominent early-2000s radio play.
-
D.
STI
STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
-
E.
Health of the sick
"Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebe40ec08190a1da2aa1c6577723 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.