Triple
T3620956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back in Town |
E76723
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | You Are All Diseased |
E76714
|
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: You Are All Diseased | Statement: [Back in Town, followedBy, You Are All Diseased]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Are All Diseased Context triple: [Back in Town, followedBy, You Are All Diseased]
-
A.
You Are All Diseased
chosen
You Are All Diseased is a 1999 stand-up comedy special and album by George Carlin known for its dark, incisive social and political commentary.
-
B.
Love Is My Disease
"Love Is My Disease" is a song by Alicia Keys from her 2009 R&B/soul album *The Element of Freedom*.
-
C.
Love Sick
"Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
-
D.
So Sick
"So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
-
E.
Sick Boy
"Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2b9aa608190a680b250ecf63156 |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.