Triple
T1951809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get on Up |
E42174
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | Stephen Goldblatt |
E259844
|
NE FINISHED |
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: Stephen Goldblatt | Statement: [Get on Up, cinematography, Stephen Goldblatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Goldblatt Context triple: [Get on Up, cinematography, Stephen Goldblatt]
-
A.
Stephen Goldblatt
chosen
Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
-
B.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
C.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
D.
Jonathan Goldstein
Jonathan Goldstein is an American screenwriter and filmmaker best known for co-writing hit studio comedies such as Horrible Bosses and Spider-Man: Homecoming.
-
E.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108b7617c8190938c7ed35e0a791e |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 4, 2026, 7:36 p.m.