Triple
T21744225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark-Paul Gosselaar |
E536742
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Peter Bash |
—
|
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: Peter Bash | Statement: [Mark-Paul Gosselaar, characterPortrayed, Peter Bash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Bash Context triple: [Mark-Paul Gosselaar, characterPortrayed, Peter Bash]
-
A.
Peter Bash
chosen
Peter Bash is a charismatic, risk-taking defense attorney and one of the two unconventional lawyer protagonists in the television series "Franklin & Bash."
-
B.
Peter Pau
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
C.
Adam Bulgasem
Adam Bulgasem is a musician known for being a member of the experimental rock band Black Mountain.
-
D.
Peter Nashel
Peter Nashel is an American composer known for his film and television scores, including his work on the darkly comedic biopic "I, Tonya."
-
E.
Peter Russo
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a75352c8190bcd46759562ee251 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.