Triple
T21957746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex Tape |
E542235
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Todd Black |
—
|
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: Todd Black | Statement: [Sex Tape, producer, Todd Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Black Context triple: [Sex Tape, producer, Todd Black]
-
A.
Todd Black
chosen
Todd Black is an American film producer known for his work on a wide range of Hollywood movies, including acclaimed dramas and major studio releases.
-
B.
Justin Parker
Justin Parker is a British songwriter and producer best known for co-writing hit pop songs for artists like Lana Del Rey and Rihanna.
-
C.
Justin Parker
Justin Parker is a video game writer known for crafting narratives and dialogue for interactive entertainment titles.
-
D.
Cory Finley
Cory Finley is an American filmmaker and playwright best known for his darkly comedic and psychologically driven films such as "Thoroughbreds" and "Bad Education."
-
E.
Michael Farris
Michael Farris is an American lawyer and conservative activist best known for his leadership in the Christian homeschooling movement and his role in founding and guiding Patrick Henry College.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244108948190a08e6966e55c4acd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.