Triple
T8033047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jojo Rabbit |
E187032
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Rebel Wilson |
E199363
|
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: Rebel Wilson | Statement: [Jojo Rabbit, starredActor, Rebel Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebel Wilson Context triple: [Jojo Rabbit, starredActor, Rebel Wilson]
-
A.
Rebel Wilson
chosen
Rebel Wilson is an Australian actress and comedian known for her scene-stealing roles in films like Pitch Perfect and Bridesmaids.
-
B.
Melissa McCarthy
Melissa McCarthy is an American actress and comedian known for her breakout comedic role in "Bridesmaids" and subsequent work in film and television.
-
C.
Leslie Jones
Leslie Jones is an American film editor known for her work on major Hollywood productions, including the feature film "Starsky & Hutch."
-
D.
Leslie Jones
Leslie Jones is an American comedian and actress known for her work on "Saturday Night Live" and roles in films such as the 2016 "Ghostbusters" reboot.
-
E.
June Tripp
June Tripp was a British actress best known for her leading role in Alfred Hitchcock’s silent thriller "The Lodger: A Story of the London Fog."
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef3e6848190913c4b1bef506aae |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ede1ac8190afd8a050e9a25851 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.