Triple
T19251996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Blacks |
E481415
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Roxanne Avent |
—
|
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: Roxanne Avent | Statement: [Meet the Blacks, producer, Roxanne Avent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxanne Avent Context triple: [Meet the Blacks, producer, Roxanne Avent]
-
A.
Roxeanne Avent
chosen
Roxeanne Avent is an American film producer and entertainment executive known for her work on independent and faith-based movies.
-
B.
Roxanne Hart
Roxanne Hart is an American actress best known for her roles in film and television, including a prominent part in the cult fantasy film "Highlander."
-
C.
Roxanne Ritchi
Roxanne Ritchi is a smart, brave television news reporter who serves as the primary love interest and moral compass in the animated film "Megamind."
-
D.
Roxanne Chase-Feder
Roxanne Chase-Feder is a character from the comedy film "Grown Ups," portrayed as Lenny Feder's stylish and successful wife.
-
E.
Alisha Woods
Alisha Woods is known as the wife of American professional ice hockey player Zach Parise.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb30bf6c819094c44aceb544a023 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.