Triple
T20164050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timmy Turner |
E491783
|
entity |
| Predicate | pet |
P8711
|
FINISHED |
| Object | Sparky |
—
|
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: Sparky | Statement: [Timmy Turner, pet, Sparky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparky Context triple: [Timmy Turner, pet, Sparky]
-
A.
Sparky
Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
-
B.
Sparky
chosen
Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
-
C.
Sparky
Sparky is the nickname of Sparky Lyle, a former Major League Baseball relief pitcher best known for his standout career with the New York Yankees in the 1970s.
-
D.
Sparky Marcus
Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
-
E.
Scruffy
Scruffy is the laconic, mustachioed janitor of Planet Express in the animated television series Futurama.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.