Triple
T21067040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa McLeod Tinkle |
E519002
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Tres Tinkle |
—
|
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: Tres Tinkle | Statement: [Lisa McLeod Tinkle, parentOf, Tres Tinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tres Tinkle Context triple: [Lisa McLeod Tinkle, parentOf, Tres Tinkle]
-
A.
Tinkle
chosen
Tinkle is a surname most prominently associated with Wayne Tinkle, an American college basketball coach and former player.
-
B.
Tinkle Bells
Tinkle Bells was the original, later-changed title of the classic Christmas song "Silver Bells."
-
C.
Twinkletoes
"Twinkletoes" is a 1918 novel by British writer Thomas Burke, known for its gritty portrayal of London’s East End and its focus on the life of a young dancer.
-
D.
Rinky Dink
Rinky Dink is a Thoroughbred racehorse descended from the prominent American sire Distorted Humor.
-
E.
Toto
Toto is the small, loyal dog who accompanies Dorothy Gale on her adventures in L. Frank Baum’s "The Wonderful Wizard of Oz" and its adaptations.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:45 p.m.