Triple
T18587867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28th Academy Awards |
E454283
|
entity |
| Predicate | bestScreenplay |
P89577
|
FINISHED |
| Object | Love Me or Leave Me |
—
|
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: Love Me or Leave Me | Statement: [28th Academy Awards, bestScreenplay, Love Me or Leave Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me or Leave Me Context triple: [28th Academy Awards, bestScreenplay, Love Me or Leave Me]
-
A.
Love Me or Leave Me
chosen
Love Me or Leave Me is a popular song closely associated with American singer Ruth Etting, becoming one of her signature hits in the 1920s.
-
B.
Love Me If You Dare
Love Me If You Dare is a Chinese crime thriller television series that follows a brilliant but socially awkward criminal profiler and his assistant as they solve complex and psychologically intense cases.
-
C.
Love Me If You Dare
Love Me If You Dare is a 2003 French romantic drama film that follows a lifelong, increasingly extreme game of dares between two childhood friends whose relationship blurs the line between love and obsession.
-
D.
Take Me or Leave Me
"Take Me or Leave Me" is a powerful duet from the musical Rent in which the characters Maureen and Joanne confront the tensions in their tumultuous relationship.
-
E.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestScreenplay Context triple: [28th Academy Awards, bestScreenplay, Love Me or Leave Me]
-
A.
bestScreenplayWriter
Indicates that the subject is recognized as the top or most outstanding writer of a screenplay, typically in comparison to other writers within a specific context or competition.
-
B.
bestWritingScreenplayWinner
chosen
Indicates that the subject is the entity that won the award for best writing (screenplay) for the associated work or event.
-
C.
bestOriginalScreenplayWinner
Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
-
D.
bestAdaptedScreenplayWinner
Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
-
E.
bestWritingMotionPictureStoryWinnerFilm
Indicates that the subject film is the winner of the Best Writing (Motion Picture Story) award.
- F. None of above.
Provenance (3 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b2f20481908da74447cd08d5bd |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:44 a.m.