Triple
T21446363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferris Bueller |
E529086
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Edward R. Rooney |
—
|
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: Edward R. Rooney | Statement: [Ferris Bueller, antagonist, Edward R. Rooney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward R. Rooney Context triple: [Ferris Bueller, antagonist, Edward R. Rooney]
-
A.
Edward R. Rooney
chosen
Edward R. Rooney is the strict, bumbling high school principal and main adult antagonist in the 1986 film "Ferris Bueller's Day Off."
-
B.
John Gibbon
John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
-
C.
Ronald Wilkerson
Ronald Wilkerson is the birth name of Titus Andromedon, a flamboyant aspiring actor and singer from the comedy series "Unbreakable Kimmy Schmidt."
-
D.
James McDaniel
James McDaniel is an American actor best known for his role as Lt. Arthur Fancy on the television drama series "NYPD Blue."
-
E.
William P. Duvall
William P. Duvall was an American military officer and the first civil governor of Guam following its acquisition by the United States.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.