Triple
T22724684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Greene |
E561957
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Art of Seduction |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Art of Seduction | Statement: [Robert Greene, notableWork, The Art of Seduction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Art of Seduction Context triple: [Robert Greene, notableWork, The Art of Seduction]
-
A.
School for Seduction
School for Seduction is a British romantic comedy film best known for starring Irish actress Dervla Kirwan as a charismatic Italian temptress who teaches a group of women how to transform their love lives.
-
B.
The Grand Seduction
The Grand Seduction is a 2013 Canadian comedy film about a small fishing village’s elaborate scheme to charm a doctor into staying in their community.
-
C.
Seduzir
Seduzir is a popular song by Brazilian singer-songwriter Djavan, known for its smooth blend of MPB, jazz, and romantic lyricism.
-
D.
The Rules of Attraction
The Rules of Attraction is a darkly comedic 2002 film adaptation of Bret Easton Ellis’s novel, following the tangled romantic and sexual lives of college students at a liberal arts school.
-
E.
The Pick-up Artist
The Pick-up Artist is a 1987 romantic comedy film starring Molly Ringwald and Robert Downey Jr., centered on a smooth-talking womanizer whose life changes when he falls for an independent young woman.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Art of Seduction Target entity description: The Art of Seduction is a bestselling self-help and psychological strategy book by Robert Greene that analyzes historical seducers and outlines methods of power, persuasion, and influence in relationships.
-
A.
School for Seduction
School for Seduction is a British romantic comedy film best known for starring Irish actress Dervla Kirwan as a charismatic Italian temptress who teaches a group of women how to transform their love lives.
-
B.
The Grand Seduction
The Grand Seduction is a 2013 Canadian comedy film about a small fishing village’s elaborate scheme to charm a doctor into staying in their community.
-
C.
Seduzir
Seduzir is a popular song by Brazilian singer-songwriter Djavan, known for its smooth blend of MPB, jazz, and romantic lyricism.
-
D.
The Rules of Attraction
The Rules of Attraction is a darkly comedic 2002 film adaptation of Bret Easton Ellis’s novel, following the tangled romantic and sexual lives of college students at a liberal arts school.
-
E.
The Pick-up Artist
The Pick-up Artist is a 1987 romantic comedy film starring Molly Ringwald and Robert Downey Jr., centered on a smooth-talking womanizer whose life changes when he falls for an independent young woman.
- F. None of above. chosen
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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17928a21c8190a1b888754ba7808b |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.