Triple
T19532721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATL (2006 film) |
E488693
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Evan Ross |
—
|
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: Evan Ross | Statement: [ATL (2006 film), stars, Evan Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Ross Context triple: [ATL (2006 film), stars, Evan Ross]
-
A.
Evan Ross
chosen
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
B.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
C.
Evan Burrows
Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
-
D.
Evan Rogers
Evan Rogers is an American songwriter and record producer best known for discovering Rihanna and co-producing many of her early hits.
-
E.
Evan Wright
Evan Wright is an American journalist and author best known for his book "Generation Kill," which chronicles his experiences embedded with U.S. Marines during the 2003 invasion of Iraq.
- 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.