Triple
T14167451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unsane |
E351115
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Joshua Leonard
Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
|
E1087039
|
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: Joshua Leonard | Statement: [Unsane, castMember, Joshua Leonard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshua Leonard Context triple: [Unsane, castMember, Joshua Leonard]
-
A.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
B.
Luke Busey
Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
-
C.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
D.
Kit Connor
Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
-
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. 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: Joshua Leonard Triple: [Unsane, castMember, Joshua Leonard]
Generated description
Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joshua Leonard Target entity description: Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
-
A.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
B.
Luke Busey
Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
-
C.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
D.
Kit Connor
Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
-
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. 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2804956c81909409fba998a87866 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a8d7b0c81908c80de21f7922f0a |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b0c9b188190a7f096429aa92419 |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 1 a.m.