Triple
T14503494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake T. Austin |
E340203
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Max Russo |
E1101195
|
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: Max Russo | Statement: [Jake T. Austin, characterPortrayed, Max Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Russo Context triple: [Jake T. Austin, characterPortrayed, Max Russo]
-
A.
Max Russo
chosen
Max Russo is the youngest, mischievous, and often comically clueless wizard sibling in the Disney Channel series "Wizards of Waverly Place."
-
B.
Peter Russo
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
-
C.
James Russo
James Russo is an American character actor known for his intense, often tough-guy roles in crime dramas and thrillers across film and television.
-
D.
Jeff Russo
Jeff Russo is an American composer and musician best known for his atmospheric scores for film, television, and video games, including series like Fargo and Star Trek: Discovery.
-
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 (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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a420040819097ee73390d625338 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:21 a.m.