Triple
T2350939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Eye |
E47445
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object |
Dan Foos
Dan Foos is a writer best known as the creator of the story for the film "Red Eye."
|
E257854
|
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: Dan Foos | Statement: [Red Eye, storyBy, Dan Foos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Foos Context triple: [Red Eye, storyBy, Dan Foos]
-
A.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
-
B.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
C.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
-
D.
Dave Niehaus
Dave Niehaus was the longtime Hall of Fame broadcaster and iconic play-by-play voice of the Seattle Mariners.
-
E.
Jere Shea
Jere Shea is an American actor best known for his work in television and theater, including a prominent role in the crime drama series "City on a Hill."
- 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: Dan Foos Triple: [Red Eye, storyBy, Dan Foos]
Generated description
Dan Foos is a writer best known as the creator of the story for the film "Red Eye."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Foos Target entity description: Dan Foos is a writer best known as the creator of the story for the film "Red Eye."
-
A.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
-
B.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
C.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
-
D.
Dave Niehaus
Dave Niehaus was the longtime Hall of Fame broadcaster and iconic play-by-play voice of the Seattle Mariners.
-
E.
Jere Shea
Jere Shea is an American actor best known for his work in television and theater, including a prominent role in the crime drama series "City on a Hill."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962f769881909a7713880eaa9b84 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96b399608190bfa846c433612142 |
completed | March 9, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977e539c81909cef638cc61e5ec1 |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:54 p.m.