Triple
T3514253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Rockwell |
E74268
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jojo Rabbit |
E187032
|
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: Jojo Rabbit | Statement: [Sam Rockwell, notableWork, Jojo Rabbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jojo Rabbit Context triple: [Sam Rockwell, notableWork, Jojo Rabbit]
-
A.
Jojo Rabbit
chosen
Jojo Rabbit is a satirical World War II comedy-drama film that follows a young German boy whose imaginary friend is Adolf Hitler, as he discovers a Jewish girl hiding in his home and begins to question Nazi ideology.
-
B.
Booksmart
Booksmart is a 2019 coming-of-age comedy film that follows two overachieving high school friends who decide to cram four years of missed fun into one wild night before graduation.
-
C.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
-
D.
Turning Red
Turning Red is a 2022 Pixar animated coming-of-age film about a 13-year-old girl who transforms into a giant red panda whenever her emotions run high.
-
E.
Isle of Dogs
The Isle of Dogs is a peninsula in East London, England, known for its major financial district at Canary Wharf and extensive riverside redevelopment.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2efa4c8190ac1ca221f3f0eba4 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7a5ab08190971c9dfd6550eb2d |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.