Triple
T20247864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Stoll |
E498470
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Peter Russo |
—
|
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 Russo | Statement: [Corey Stoll, portrayed, Peter Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Russo Context triple: [Corey Stoll, portrayed, Peter Russo]
-
A.
Peter Russo
chosen
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
-
B.
Max Russo
Max Russo is the youngest, mischievous, and often comically clueless wizard sibling in the Disney Channel series "Wizards of Waverly Place."
-
C.
Nick Russo
Nick Russo is a central character on the 1990s television sitcom "Blossom," known as Blossom's caring but often overburdened single father.
-
D.
Peter Rive
Peter Rive is a technology entrepreneur best known as a co-founder and former executive of the solar energy services company SolarCity.
-
E.
Christopher Russo
Christopher Russo is an American sports radio and television personality best known for his energetic, outspoken style on baseball and talk shows.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.