Triple
T11157144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Krisel |
E263938
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Baskets |
E909121
|
NE FINISHED |
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: Baskets | Statement: [Jonathan Krisel, directorOf, Baskets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baskets Context triple: [Jonathan Krisel, directorOf, Baskets]
-
A.
Baskets
chosen
Baskets is a dark comedy television series co-created by and starring Zach Galifianakis, following a failed professional clown navigating family, work, and identity in Bakersfield, California.
-
B.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
C.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
D.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
E.
The Basket
The Basket is a 1999 family sports drama film set in rural America during World War I, focusing on a new teacher who introduces basketball to unite a divided community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4836718a08190b8eae87ce91bbfa0 |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:28 p.m.