Triple
T21067045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tres Tinkle |
E519002
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Lisa McLeod 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: Lisa McLeod Tinkle | Statement: [Tres Tinkle, childOf, Lisa McLeod Tinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa McLeod Tinkle Context triple: [Tres Tinkle, childOf, Lisa McLeod Tinkle]
-
A.
Lisa McLeod Tinkle
chosen
Lisa McLeod Tinkle is known as the wife of college basketball coach Wayne Tinkle and the mother of former Oregon State basketball players Tres and Elle Tinkle.
-
B.
Mary Looram
Mary Looram is an actress known for her role in the film "Like Father."
-
C.
Tilly Dixon
Tilly Dixon is the daughter of New Zealand IndyCar racing champion Scott Dixon.
-
D.
Trudi Lacey
Trudi Lacey is an American basketball coach and former player best known for her head coaching and executive roles in the WNBA and women’s college basketball.
-
E.
Alice Dainard
Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
- 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.