Triple
T13481147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Darko |
E318373
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Eric Strand
Eric Strand is a film editor best known for his work on the cult psychological thriller "Donnie Darko."
|
E1043045
|
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: Eric Strand | Statement: [Donnie Darko, editedBy, Eric Strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Strand Context triple: [Donnie Darko, editedBy, Eric Strand]
-
A.
Sam Strand
Sam Strand is the true family name of Sam Porter Bridges, the protagonist of the video game Death Stranding, revealing his connection to the powerful Strand family central to the game's story.
-
B.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
C.
Jon Ekstrand
Jon Ekstrand is a Swedish film composer and sound designer known for his atmospheric scores for documentaries and feature films, including collaborations with director Daniel Espinosa.
-
D.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
E.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
- 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: Eric Strand Triple: [Donnie Darko, editedBy, Eric Strand]
Generated description
Eric Strand is a film editor best known for his work on the cult psychological thriller "Donnie Darko."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Strand Target entity description: Eric Strand is a film editor best known for his work on the cult psychological thriller "Donnie Darko."
-
A.
Sam Strand
Sam Strand is the true family name of Sam Porter Bridges, the protagonist of the video game Death Stranding, revealing his connection to the powerful Strand family central to the game's story.
-
B.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
C.
Jon Ekstrand
Jon Ekstrand is a Swedish film composer and sound designer known for his atmospheric scores for documentaries and feature films, including collaborations with director Daniel Espinosa.
-
D.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
E.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f748dfd4f081908fd5d77fe70f9db4 |
completed | May 3, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74965c53081909c662f7f991849bf |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.