Triple
T10293548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Paul |
E241425
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Aaron Paul Sturtevant |
E241425
|
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 Paul Sturtevant | Statement: [Aaron Paul, fullName, Aaron Paul Sturtevant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Paul Sturtevant Context triple: [Aaron Paul, fullName, Aaron Paul Sturtevant]
-
A.
Aaron Paul
chosen
Aaron Paul is an American actor best known for his Emmy-winning role as Jesse Pinkman in the television series "Breaking Bad."
-
B.
Logan Marshall-Green
Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
-
C.
RJ Cyler
RJ Cyler is an American actor best known for his breakout role in the film "Me and Earl and the Dying Girl" and for appearing in projects like "Power Rangers" and various television series.
-
D.
Corey Hawkins
Corey Hawkins is an American actor known for his roles in films like "Straight Outta Compton" and "Kong: Skull Island," as well as television series such as "24: Legacy."
-
E.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7500fdd1c81909395469afb346f8b |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:42 a.m.