Triple
T15941737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Alden Robinson |
E386579
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Sneakers |
E296008
|
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: Sneakers | Statement: [Phil Alden Robinson, wroteScreenplayFor, Sneakers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sneakers Context triple: [Phil Alden Robinson, wroteScreenplayFor, Sneakers]
-
A.
Sneakers
chosen
"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.
-
B.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
C.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
D.
Baskets
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.
-
E.
Car Shoe
Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.