Triple
T1748847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zootopia |
E38393
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Judy Hopps |
E197215
|
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: Judy Hopps | Statement: [Zootopia, protagonist, Judy Hopps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Hopps Context triple: [Zootopia, protagonist, Judy Hopps]
-
A.
Judy Hopps
chosen
Judy Hopps is an optimistic and determined rabbit police officer who stars as the protagonist of Disney’s animated film "Zootopia."
-
B.
Greg the Bunny
Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
-
C.
Pepé Le Pew
Pepé Le Pew is a romantic, overly confident skunk from the Looney Tunes cartoons, best known for his comedic, French-accented pursuit of love.
-
D.
Roary the Lion
Roary the Lion is the official lion-costumed mascot who entertains fans at Detroit Lions football games and team events.
-
E.
Roary the Panther
Roary the Panther is the costumed panther mascot representing Florida International University at its athletic events and campus activities.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ee4d2081909dfd6d3244228c56 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c28ac881909ba2a7e5c2067127 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.