Triple
T19533567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perfect Luv Tape |
E488712
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lyle LeDuff |
—
|
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: Lyle LeDuff | Statement: [The Perfect Luv Tape, producer, Lyle LeDuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle LeDuff Context triple: [The Perfect Luv Tape, producer, Lyle LeDuff]
-
A.
Lyle LeDuff
chosen
Lyle LeDuff is a music producer known for his work on Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
-
B.
Lyle Kessler
Lyle Kessler is an American playwright, screenwriter, and actor best known for his play "Orphans" and his work in film and television.
-
C.
Lyle Vincent
Lyle Vincent is a cinematographer known for his distinctive visual work on independent and genre films, including collaborations on projects like "Cooties."
-
D.
Lyle Bremser
Lyle Bremser was a longtime American sportscaster best known as the iconic radio voice of Nebraska Cornhuskers football.
-
E.
Joseph Lyle
Joseph Lyle is a screenwriter best known for his work on the science fiction horror film "Critters 4."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636417ed88190b4c66a323bca776f |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.