Triple
T9565142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Girl |
E230771
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Winston Bishop |
E257612
|
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: Winston Bishop | Statement: [New Girl, character, Winston Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston Bishop Context triple: [New Girl, character, Winston Bishop]
-
A.
Winston Bishop
chosen
Winston Bishop is a quirky, big-hearted former athlete turned prank-loving roommate on the sitcom "New Girl," known for his eccentric humor and deep loyalty to his friends.
-
B.
Harold Finch
Harold Finch is a reclusive billionaire software genius who secretly built a surveillance AI to prevent violent crimes in the TV series "Person of Interest."
-
C.
Danny Butterman
Danny Butterman is a well-meaning but naive police constable in the film "Hot Fuzz," known for his love of action movies and his partnership with Nicholas Angel.
-
D.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
-
E.
Sam Coulson
Sam Coulson is an English rock guitarist best known for joining the progressive rock band Asia in the 2010s.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996a01b081908e2782f41520f73d |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.