Triple
T19351433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Casse |
E484028
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Randy Quaid |
—
|
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: Randy Quaid | Statement: [Russell Casse, portrayedBy, Randy Quaid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Quaid Context triple: [Russell Casse, portrayedBy, Randy Quaid]
-
A.
Randy Quaid
chosen
Randy Quaid is an American actor known for his character roles in films such as "National Lampoon's Vacation," "Independence Day," and "Brokeback Mountain."
-
B.
Ronny Cox
Ronny Cox is an American actor and musician best known for his roles in films such as "Deliverance," "RoboCop," and "Total Recall," often portraying authoritative or villainous characters.
-
C.
Matt Ross
Matt Ross is an American actor and filmmaker known for roles in projects like "Big Love" and for directing the acclaimed film "Captain Fantastic."
-
D.
Todd Russell
Todd Russell is a version of the DC Comics supervillain Clayface, a shape-shifting enemy of Batman.
-
E.
James McKernan
James McKernan is a prominent mathematician known for his influential work in algebraic geometry, particularly in the minimal model program, which earned him major international honors.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.