Triple
T15909667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Bennett |
E385811
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Aaron Samuels |
E385801
|
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: Aaron Samuels | Statement: [Jonathan Bennett, portrays, Aaron Samuels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Samuels Context triple: [Jonathan Bennett, portrays, Aaron Samuels]
-
A.
Aaron Samuels
chosen
Aaron Samuels is the popular high school heartthrob and love interest of Cady Heron and Regina George in the teen comedy film "Mean Girls."
-
B.
John Bendor-Samuel
John Bendor-Samuel was a British linguist and missionary known for his influential work on African languages, particularly within the Niger–Congo family.
-
C.
Ron Samuels
Ron Samuels is a film producer best known for his work on the 1986 action movie "Iron Eagle."
-
D.
Paul Samson
Paul Samson is an actor known for his role in the film "The Purifiers."
-
E.
Matthew Jehu Samuels
Matthew Jehu Samuels, better known as Boi-1da, is a Grammy-winning Canadian record producer renowned for his work with artists like Drake, Eminem, and Rihanna.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc2cd84819080a90d983cd4d1a5 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:52 a.m.