Triple
T20818533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Didymus |
E512508
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Dave Goelz |
—
|
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: Dave Goelz | Statement: [Sir Didymus, portrayedBy, Dave Goelz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Goelz Context triple: [Sir Didymus, portrayedBy, Dave Goelz]
-
A.
Dave Goelz
chosen
Dave Goelz is an American puppeteer and voice actor best known for his long-running work with the Muppets, including performing characters like Gonzo the Great.
-
B.
David Conner
David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
-
C.
Kevin Allen
Kevin Allen is a British actor and director known for his work in film and television, including directing the cult comedy "Twin Town."
-
D.
Paul Reubens
Paul Reubens was an American actor, comedian, and writer best known for creating and portraying the eccentric character Pee-wee Herman in television, film, and stage productions.
-
E.
Martin Short
Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.