Triple
T2257935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Want Is You |
E49769
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Quickie |
E249514
|
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: Quickie | Statement: [All I Want Is You, hasSingle, Quickie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quickie Context triple: [All I Want Is You, hasSingle, Quickie]
-
A.
Quickie
chosen
"Quickie" is a song featured on the album "All I Want Is You" by American singer Miguel.
-
B.
Quick
Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
-
C.
Quick Pitch
Quick Pitch is a Major League Baseball Network highlight show that provides rapid-fire recaps and key moments from each day's MLB games.
-
D.
Cold Shot
"Cold Shot" is a blues-rock song by Stevie Ray Vaughan, known for its laid-back groove, sharp guitar riffs, and wry lyrics about a deteriorating relationship.
-
E.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15839fc8190b17e040c4c765a8c |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f067f208190a399e2b1a83badd1 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.