Triple
T11387113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaggy Rogers |
E269738
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Matthew Lillard |
E299548
|
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: Matthew Lillard | Statement: [Shaggy Rogers, voiceActor, Matthew Lillard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Lillard Context triple: [Shaggy Rogers, voiceActor, Matthew Lillard]
-
A.
Matthew Lillard
chosen
Matthew Lillard is an American actor and director best known for his energetic, often comedic performances in films such as "Scream," "Scooby-Doo," and "Hackers."
-
B.
David Arquette
David Arquette is an American actor, filmmaker, and former professional wrestler best known for his role as Dewey Riley in the "Scream" horror film franchise.
-
C.
Jason Wiles
Jason Wiles is an American actor best known for his role as Officer Maurice "Bosco" Boscorelli on the television drama series "Third Watch."
-
D.
David Matthew Macfadyen
David Matthew Macfadyen is a British actor best known for his roles in the television series "Succession" and the 2005 film adaptation of "Pride & Prejudice."
-
E.
Skeet Ulrich
Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc378d808190b587a044ede67e1e |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c3c9a7081908002d726ec9e7715 |
completed | April 20, 2026, 2:15 a.m. |
Created at: April 8, 2026, 9:34 p.m.