Triple
T21633556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludacris |
E533895
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Sex Room |
—
|
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: Sex Room | Statement: [Ludacris, notableSong, Sex Room]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sex Room Context triple: [Ludacris, notableSong, Sex Room]
-
A.
Sex Room
chosen
"Sex Room" is a song by Ludacris featuring Trey Songz, known for its explicit, sensual lyrics and R&B-influenced hip-hop style.
-
B.
Love Room
The Love Room is a mysterious chamber in the Department of Mysteries devoted to studying the powerful and enigmatic force of love in the Harry Potter universe.
-
C.
The Naughty Room
The Naughty Room is an independent film written, directed by, and starring British-American musician and filmmaker Cosmo Jarvis, known for its darkly comic and offbeat storytelling.
-
D.
Nut Room
The Nut Room is a section of Willy Wonka’s chocolate factory where trained squirrels sort good nuts from bad as part of the candy-making process.
-
E.
Strange Room
Strange Room is a surreal, puzzle-filled chamber often depicted in fiction and games as a disorienting space that challenges perception and logic.
- 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.