Triple
T13351198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velma Dinkley |
E318071
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Ken Spears |
E922995
|
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: Ken Spears | Statement: [Velma Dinkley, createdBy, Ken Spears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Spears Context triple: [Velma Dinkley, createdBy, Ken Spears]
-
A.
Ken Spears
chosen
Ken Spears was an American television writer and producer best known for co-creating the iconic animated mystery franchise "Scooby-Doo."
-
B.
Scott Speer
Scott Speer is an American film director, producer, and author best known for directing music videos and feature films such as "Step Up Revolution."
-
C.
David Spradley
David Spradley is an American songwriter and producer best known for his work in R&B and funk music, including contributions to hit songs like "So Many Tears."
-
D.
Dan Sullivan
Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
-
E.
Gary Hershberger
Gary Hershberger is an American actor best known for his role as Mike Nelson on the television series "Twin Peaks."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72675c87c8190b26991b55092c444 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:31 p.m.