Triple
T16887510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Wedge |
E421575
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bunny |
E412263
|
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: Bunny | Statement: [Chris Wedge, notableWork, Bunny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunny Context triple: [Chris Wedge, notableWork, Bunny]
-
A.
Bunny
Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
-
B.
Bunny
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
-
C.
Bunny
chosen
Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
-
D.
Bunny
"Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
-
E.
Bunny
Bunny is a brutal and sadistic U.S. soldier portrayed by Kevin Dillon in the Vietnam War film "Platoon."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc1f42481909dcf595358c23497 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfca11bc8190b0835de0d56ca0b1 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:29 a.m.