Triple
T3362709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Koepp |
E70760
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Koepp
Koepp is a German-origin surname most notably associated with American screenwriter and director David Koepp, known for his work on major Hollywood films.
|
E351271
|
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: Koepp | Statement: [David Koepp, familyName, Koepp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koepp Context triple: [David Koepp, familyName, Koepp]
-
A.
Scheider
Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
-
B.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
C.
Van Brunt
Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
-
D.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
E.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
- 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: Koepp Triple: [David Koepp, familyName, Koepp]
Generated description
Koepp is a German-origin surname most notably associated with American screenwriter and director David Koepp, known for his work on major Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koepp Target entity description: Koepp is a German-origin surname most notably associated with American screenwriter and director David Koepp, known for his work on major Hollywood films.
-
A.
Scheider
Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
-
B.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
C.
Van Brunt
Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
-
D.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
E.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26a5a508190948932769de0dbb3 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32549eb9c81908c3a525da9eab0aa |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325aecee081908109928766283c9a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326175b38819083f1e62be7e01c8a |
completed | March 12, 2026, 8:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.