Triple
T22572248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley MacLaine |
E558101
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I'm Over All That |
—
|
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: I'm Over All That | Statement: [Shirley MacLaine, notableWork, I'm Over All That]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Over All That Context triple: [Shirley MacLaine, notableWork, I'm Over All That]
-
A.
I’m Over All That
chosen
"I’m Over All That" is a memoir by actress and author Shirley MacLaine in which she reflects on her long career, spiritual beliefs, and personal philosophies.
-
B.
I'm All Over It
"I'm All Over It" is a jazz-pop song by British singer-songwriter and pianist Jamie Cullum, known for its upbeat melody and introspective lyrics.
-
C.
It's Over
"It's Over" is a 1977 soft rock song by Electric Light Orchestra from their album *Out of the Blue*, known for its lush orchestration and melancholic tone.
-
D.
All Over
"All Over" is a song by the American rock band Sugarcane.
-
E.
All Over
"All Over" is a popular Afrobeats love song by Nigerian singer Tiwa Savage that helped solidify her status as a leading figure in contemporary African pop music.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:52 p.m.