Triple
T17514491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex Therapy |
E426532
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mr. Right |
—
|
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: Mr. Right | Statement: [Sex Therapy, hasPart, Mr. Right]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Right Context triple: [Sex Therapy, hasPart, Mr. Right]
-
A.
Mr. Right
chosen
Mr. Right is a 2015 action-romantic comedy film in which Sam Rockwell plays a eccentric hitman who falls in love while being pursued by his former employers.
-
B.
Making Mr. Right
Making Mr. Right is a 1987 romantic science-fiction comedy film about a publicist tasked with humanizing an emotionless android, starring Ann Magnuson and John Malkovich.
-
C.
Mr. Right Now
"Mr. Right Now" is a hip-hop track by 21 Savage and Metro Boomin featuring Drake, known for its smooth production and themes of casual romance and fleeting relationships.
-
D.
The Right Man
"The Right Man" is a song by American singer Christina Aguilera, known as an emotional ballad reflecting on love and commitment.
-
E.
Mr. Wonderful
Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.