Triple
T23248338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two to Make It Right |
E581645
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Seduction |
—
|
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: Seduction | Statement: [Two to Make It Right, performer, Seduction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seduction Context triple: [Two to Make It Right, performer, Seduction]
-
A.
Seduction
Seduction is a song featured on the "Confessions Special Edition" release by Usher, known for its smooth R&B style and sensual themes.
-
B.
Seduction
chosen
Seduction was a late-1980s/early-1990s American female dance-pop and freestyle group produced by Clivillés & Cole, known for club hits like “Two to Make It Right.”
-
C.
Sensual Seduction
"Sensual Seduction" is a 2007 single by Snoop Dogg, known for its retro-funk sound and heavily Auto-Tuned vocals.
-
D.
Seduction and Betrayal
Seduction and Betrayal is a collection of literary essays by Elizabeth Hardwick that incisively examines the lives and works of major women writers and the themes of love, power, and treachery in their fiction.
-
E.
Seduzir
Seduzir is a popular song by Brazilian singer-songwriter Djavan, known for its smooth blend of MPB, jazz, and romantic lyricism.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f3a67c81908ed18480e1cccc29 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.