Triple
T5367971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dylan concert setlists |
E103175
|
entity |
| Predicate | featureWork |
P51454
|
FINISHED |
| Object | Love Sick |
E120595
|
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: Love Sick | Statement: [Bob Dylan concert setlists, featureWork, Love Sick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Sick Context triple: [Bob Dylan concert setlists, featureWork, Love Sick]
-
A.
Love Sick
chosen
"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*.
-
B.
Love Sick
Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
-
C.
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.
-
D.
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.
-
E.
Sick of Me
"Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd91ac1bf08190a9a575c9822de6cc |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2928859881908ac238feca132d07 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.