Triple
T9644784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Mitchell |
E233166
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jason Mitchell |
E233166
|
NE FINISHED |
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: Jason Mitchell | Statement: [Jason Mitchell, name, Jason Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Mitchell Context triple: [Jason Mitchell, name, Jason Mitchell]
-
A.
Jason Mitchell
chosen
Jason Mitchell is an American actor known for his breakout role as Eazy-E in "Straight Outta Compton" and appearances in films such as "Mudbound" and "Kong: Skull Island."
-
B.
Michael Ealy
Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
-
C.
Jeffery Wood
Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
-
D.
Eriq La Salle
Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
-
E.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7fd2308190803a196ecdc80d76 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a00a87081909d1e59aa7192a69c |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:12 p.m.