Triple
T21633549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludacris |
E533895
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Number One Spot |
—
|
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: Number One Spot | Statement: [Ludacris, notableSong, Number One Spot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number One Spot Context triple: [Ludacris, notableSong, Number One Spot]
-
A.
Number One Spot
chosen
"Number One Spot" is a popular hip-hop single by Ludacris known for its James Bond–themed music video and witty, boastful lyrics.
-
B.
One Point O
One Point O is a 2004 cyberpunk science fiction film, co-directed by Jeff Renfroe, that explores paranoia and corporate control in a dystopian future.
-
C.
Clear Spot
Clear Spot is a 1972 studio album by Captain Beefheart and the Magic Band that blends experimental rock with more accessible, blues-influenced songwriting.
-
D.
Sweet Spot
"Sweet Spot" is a song featured on the country-rock album *Western Wall: The Tucson Sessions* by Linda Ronstadt and Emmylou Harris.
-
E.
Number One
Number One is the composed and highly capable first officer of the USS Enterprise in the Star Trek universe, originally introduced in the 1960s pilot and later portrayed by Rebecca Romijn in modern series.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.