Triple
T20883049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowball Express |
E514200
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Don Tait |
—
|
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: Don Tait | Statement: [Snowball Express, screenwriter, Don Tait]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Tait Context triple: [Snowball Express, screenwriter, Don Tait]
-
A.
Don Tait
chosen
Don Tait was an American screenwriter best known for his work on family-friendly Disney films in the 1960s and 1970s.
-
B.
Tom Tait
Tom Tait is an American volleyball coach best known as the founding coach who built Penn State’s men’s volleyball program into a national powerhouse.
-
C.
Bill Cayton
Bill Cayton was an American boxing manager and promoter best known for co-managing heavyweight champion Mike Tyson during the early part of his professional career.
-
D.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
E.
Dick Tufeld
Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67b03088190be7cbcde8c59509a |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.