Triple
T20674763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Juri |
E508129
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Morris from America |
—
|
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: Morris from America | Statement: [Carla Juri, notableWork, Morris from America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris from America Context triple: [Carla Juri, notableWork, Morris from America]
-
A.
Morris from America
chosen
Morris from America is a 2016 coming-of-age comedy-drama film about a young African-American boy adjusting to life in Germany with his single father.
-
B.
Morris
Morris is a masculine given name of English origin that has been borne by various notable figures in fields such as politics, arts, and entertainment.
-
C.
Morris
Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
-
D.
Morris
Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
-
E.
Morris
Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.