Triple
T23515147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy O'Haver |
E574338
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Get Over It |
—
|
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: Get Over It | Statement: [Tommy O'Haver, notableWork, Get Over It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Over It Context triple: [Tommy O'Haver, notableWork, Get Over It]
-
A.
Get Over It
"Get Over It" is a pop song co-written by British singer-songwriter Amanda Ghost, known for its emotionally charged lyrics and melodic, radio-friendly sound.
-
B.
Get Over It
chosen
Get Over It is a 2001 teen romantic comedy film known for its playful take on high school romance and its modern twist on Shakespeare’s "A Midsummer Night’s Dream."
-
C.
Get Over It
"Get Over It" is a 1994 rock song by the Eagles, notable as one of the new studio tracks recorded for their reunion album "Hell Freezes Over."
-
D.
Got Over
"Got Over" is a song featured on Robert Glasper's acclaimed jazz and R&B fusion album "Black Radio 2."
-
E.
Get Over
"Get Over" is a track by Lil Wayne featured on his acclaimed 2005 studio album *Tha Carter II*.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.