Triple
T18504312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoop |
E452160
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Sparks |
—
|
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: Mark Sparks | Statement: [Shoop, producer, Mark Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Sparks Context triple: [Shoop, producer, Mark Sparks]
-
A.
Mark Sparks
chosen
Mark Sparks is a writer known for his work on the song "Shoop."
-
B.
Jeremy Sparks
Jeremy Sparks is an Australian figure best known as the husband of acclaimed actress and producer Claudia Karvan.
-
C.
Randy Sparks
Randy Sparks is an American musician, songwriter, and founder of the folk group The New Christy Minstrels, influential in the 1960s folk revival.
-
D.
Cole Palen
Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
-
E.
Sean Akins
Sean Akins is a television producer and creative director best known for helping develop and shape Cartoon Network’s influential Toonami programming block.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.