Triple
T9996874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Tudyk |
E197222
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Duke Weaselton
Duke Weaselton is a small-time, fast-talking weasel criminal from Disney's animated film "Zootopia," known for his black-market dealings and comedic role.
|
E834622
|
NE FINISHED |
How this triple was built (4 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: Duke Weaselton | Statement: [Alan Tudyk, characterPortrayed, Duke Weaselton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Weaselton Context triple: [Alan Tudyk, characterPortrayed, Duke Weaselton]
-
A.
Geoffrey Keen
Geoffrey Keen was a British character actor best known for his recurring role as the Minister of Defence in the James Bond film series.
-
B.
Denzil
Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
-
C.
Duke
Duke is a central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
-
D.
Duke
Duke is a large, shaggy brown rescue dog who becomes one of the central comedic protagonists in the animated film "The Secret Life of Pets."
-
E.
Duke
Duke is the elderly man in "The Notebook" who narrates the love story from a nursing home, later revealed to be an older Noah reading their shared history to Allie.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Duke Weaselton Triple: [Alan Tudyk, characterPortrayed, Duke Weaselton]
Generated description
Duke Weaselton is a small-time, fast-talking weasel criminal from Disney's animated film "Zootopia," known for his black-market dealings and comedic role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke Weaselton Target entity description: Duke Weaselton is a small-time, fast-talking weasel criminal from Disney's animated film "Zootopia," known for his black-market dealings and comedic role.
-
A.
Geoffrey Keen
Geoffrey Keen was a British character actor best known for his recurring role as the Minister of Defence in the James Bond film series.
-
B.
Denzil
Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
-
C.
Duke
Duke is a central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
-
D.
Duke
Duke is a large, shaggy brown rescue dog who becomes one of the central comedic protagonists in the animated film "The Secret Life of Pets."
-
E.
Duke
Duke is the elderly man in "The Notebook" who narrates the love story from a nursing home, later revealed to be an older Noah reading their shared history to Allie.
- F. None of above. chosen
Provenance (5 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb9af6a88190942cc4991bd373c1 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2583bd6948190b15a97187e81d958 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d2594b5e5081908f7cc4af4d10b4a8 |
completed | April 5, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a30ad98819084dcd305e709c34d |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:51 p.m.