Triple
T9163520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Pilkington |
E219887
|
entity |
| Predicate | televisionShow |
P3279
|
FINISHED |
| Object | Sick of It |
E782873
|
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: Sick of It | Statement: [Karl Pilkington, televisionShow, Sick of It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sick of It Context triple: [Karl Pilkington, televisionShow, Sick of It]
-
A.
Sick of It
chosen
Sick of It is a British comedy-drama television series starring Karl Pilkington as both a disillusioned cab driver and the voice of his inner self.
-
B.
Sick of Me
"Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
-
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 and Tired
"Sick and Tired" is a pop-soul song by American singer Anastacia, known for its powerful vocals and themes of emotional struggle and resilience.
-
E.
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*.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2d6628819084ac4734650fe912 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c04533c81909d92ad5fff9bbadf |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:21 p.m.