Triple
T20818727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadim Perelman |
E512512
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Buy Me
"Buy Me" is a film directed by Vadim Perelman, known for its dramatic exploration of ambition, morality, and the costs of material desire.
|
E1452168
|
NE FINISHED |
How this triple was built (4 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: Buy Me | Statement: [Vadim Perelman, notableWork, Buy Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buy Me Context triple: [Vadim Perelman, notableWork, Buy Me]
-
A.
Get Me Some
"Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
-
B.
If You Can Afford Me
"If You Can Afford Me" is a pop song by American singer Katy Perry from her breakthrough 2008 album "One of the Boys," noted for its sassy lyrics about self-worth and relationships.
-
C.
Better Me
"Better Me" is a song featured on Keyshia Cole’s R&B album "Calling All Hearts."
-
D.
Get Me
"Get Me" is a track featured on the album "Kamikaze," likely contributing to its overall musical and thematic composition.
-
E.
In My Business
"In My Business" is a song by Whitney Houston from her 1998 album *My Love Is Your Love*, blending R&B and pop with themes of privacy and personal boundaries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buy Me Triple: [Vadim Perelman, notableWork, Buy Me]
Generated description
"Buy Me" is a film directed by Vadim Perelman, known for its dramatic exploration of ambition, morality, and the costs of material desire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buy Me Target entity description: "Buy Me" is a film directed by Vadim Perelman, known for its dramatic exploration of ambition, morality, and the costs of material desire.
-
A.
Get Me Some
"Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
-
B.
If You Can Afford Me
"If You Can Afford Me" is a pop song by American singer Katy Perry from her breakthrough 2008 album "One of the Boys," noted for its sassy lyrics about self-worth and relationships.
-
C.
Better Me
"Better Me" is a song featured on Keyshia Cole’s R&B album "Calling All Hearts."
-
D.
Get Me
"Get Me" is a track featured on the album "Kamikaze," likely contributing to its overall musical and thematic composition.
-
E.
In My Business
"In My Business" is a song by Whitney Houston from her 1998 album *My Love Is Your Love*, blending R&B and pop with themes of privacy and personal boundaries.
- F. None of above. chosen
Provenance (5 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090075c4b881908ad6f4c0e7acedb5 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0901384c448190ad8f754d6cf8bbad |
completed | May 16, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901cceb608190badab67cf5609a73 |
completed | May 16, 2026, 11:46 p.m. |
Created at: April 16, 2026, 12:41 p.m.