Triple
T20294937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From the Choirgirl Hotel |
E510120
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Cruel |
—
|
NE NERFINISHED |
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: Cruel | Statement: [From the Choirgirl Hotel, hasSingle, Cruel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cruel Context triple: [From the Choirgirl Hotel, hasSingle, Cruel]
-
A.
Cruel
"Cruel" is a track from the album *Meaning of Life* by Kelly Clarkson, showcasing her soulful pop style and powerful vocals.
-
B.
Cruel
chosen
"Cruel" is a dark, piano-driven alternative rock song by Tori Amos from her 1998 album *From the Choirgirl Hotel*, noted for its layered production and emotionally intense lyrics.
-
C.
Ruthless
Ruthless is the longtime nickname of American mixed martial artist Robbie Lawler, reflecting his aggressive, hard-hitting fighting style in the UFC.
-
D.
Ruthless
"Ruthless" is a 1948 American film noir drama about an unscrupulous financier’s rise to power and the personal betrayals that fuel his ambition.
-
E.
Brutal
Brutal is the nickname of Brutus "Brutal" Howell, a character known as a large but kind-hearted prison guard in Stephen King's story "The Green Mile."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:13 a.m.