Triple
T19532720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATL (2006 film) |
E488693
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Antwan "Big Boi" Patton |
—
|
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: Antwan "Big Boi" Patton | Statement: [ATL (2006 film), stars, Antwan "Big Boi" Patton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antwan "Big Boi" Patton Context triple: [ATL (2006 film), stars, Antwan "Big Boi" Patton]
-
A.
Big Boi
chosen
Big Boi is an American rapper, songwriter, and producer best known as one half of the influential hip hop duo Outkast.
-
B.
Warren G
Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
-
C.
Big Sam
Big Sam is a loyal and strong enslaved field hand from Tara plantation in Margaret Mitchell’s novel "Gone with the Wind."
-
D.
Lil Wayne
Lil Wayne is a Grammy-winning American rapper, singer, and songwriter known for his influential role in hip-hop and prolific output since the late 1990s.
-
E.
Lil Jon
Lil Jon is an American rapper, producer, and DJ known for popularizing crunk music and his energetic, shouted catchphrases.
- 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_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.