Triple
T18066542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B99 |
E432308
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Terry Jeffords |
—
|
NE NERFINISHED |
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: Terry Jeffords | Statement: [B99, mainCharacter, Terry Jeffords]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Jeffords Context triple: [B99, mainCharacter, Terry Jeffords]
-
A.
Terry Jeffords
chosen
Terry Jeffords is a devoted family man and physically imposing yet gentle sergeant in the comedy series "Brooklyn Nine-Nine," known for his leadership, sensitivity, and love of yogurt.
-
B.
Tom Jeffords
Tom Jeffords was a 19th-century American frontiersman and Indian agent best known for establishing peaceful relations with the Apache leader Cochise in the Arizona Territory.
-
C.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
D.
Terry Leahy
Terry Leahy is a British businessman best known for serving as chief executive of Tesco, where he oversaw its expansion into one of the world’s largest retailers.
-
E.
Bill Riling
Bill Riling is a screenwriter best known for his work on the animated holiday television special "Shrek the Halls."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.