Triple
T19970020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy McAvoy |
E480045
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Ron Shelton |
—
|
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: Ron Shelton | Statement: [Roy McAvoy, createdBy, Ron Shelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Shelton Context triple: [Roy McAvoy, createdBy, Ron Shelton]
-
A.
Ron Shelton
chosen
Ron Shelton is an American filmmaker and former minor league baseball player best known for writing and directing sports-themed movies such as "Bull Durham."
-
B.
Robert Arkins
Robert Arkins is an Irish actor and musician best known for playing band manager Jimmy Rabbitte in the film adaptation of "The Commitments."
-
C.
Steven Brooks
Steven Brooks is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and academia.
-
D.
Walt Robbins
Walt Robbins is a recurring character in the medical drama series "ER," known primarily as a relative of Dr. Peter Benton.
-
E.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc89b508190879d29bef546aac8 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.