Triple
T17880519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopscotch |
E447070
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Carl Kress |
—
|
NE NERFINISHED |
How this triple was built (2 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: Carl Kress | Statement: [Hopscotch, editedBy, Carl Kress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Kress Context triple: [Hopscotch, editedBy, Carl Kress]
-
A.
Carl Kress
chosen
Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
-
B.
Carl Nafzger
Carl Nafzger is an American Thoroughbred racehorse trainer best known for conditioning champions such as Kentucky Derby winner Unbridled.
-
C.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
-
D.
Karl Kling
Karl Kling was a German racing driver of the 1950s who competed for the Mercedes-Benz works team in Grand Prix and sports car events.
-
E.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.