Triple
T13434747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Days |
E320200
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ryan Orion
Ryan Orion is an actor known for appearing in the film "Last Days."
|
E1041659
|
NE FINISHED |
How this triple was built (4 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: Ryan Orion | Statement: [Last Days, castMember, Ryan Orion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Orion Context triple: [Last Days, castMember, Ryan Orion]
-
A.
Ryan Piers Williams
Ryan Piers Williams is an American filmmaker and actor known for his work in independent cinema and his marriage to actress America Ferrera.
-
B.
Jon Orwant
Jon Orwant is a computer scientist and author best known for his influential work in the Perl programming community and contributions to technical publishing.
-
C.
Jonathan Poneman
Jonathan Poneman is an American music executive best known as the co-founder of the influential independent record label Sub Pop, which helped launch the grunge movement and bands like Nirvana and Soundgarden.
-
D.
Nathan Tyson
Nathan Tyson is an English professional footballer known as a pacey forward who has played for numerous clubs in the English Football League.
-
E.
Ethan Suplee
Ethan Suplee is an American actor known for his roles in films like "Remember the Titans" and "Mallrats" and the TV series "My Name Is Earl."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ryan Orion Triple: [Last Days, castMember, Ryan Orion]
Generated description
Ryan Orion is an actor known for appearing in the film "Last Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Orion Target entity description: Ryan Orion is an actor known for appearing in the film "Last Days."
-
A.
Ryan Piers Williams
Ryan Piers Williams is an American filmmaker and actor known for his work in independent cinema and his marriage to actress America Ferrera.
-
B.
Jon Orwant
Jon Orwant is a computer scientist and author best known for his influential work in the Perl programming community and contributions to technical publishing.
-
C.
Jonathan Poneman
Jonathan Poneman is an American music executive best known as the co-founder of the influential independent record label Sub Pop, which helped launch the grunge movement and bands like Nirvana and Soundgarden.
-
D.
Nathan Tyson
Nathan Tyson is an English professional footballer known as a pacey forward who has played for numerous clubs in the English Football League.
-
E.
Ethan Suplee
Ethan Suplee is an American actor known for his roles in films like "Remember the Titans" and "Mallrats" and the TV series "My Name Is Earl."
- F. None of above. chosen
Provenance (5 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.