Triple
T21446490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Bueller |
E529089
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object |
Mr. Bueller
Mr. Bueller is the father in the Bueller family from the film "Ferris Bueller's Day Off," portrayed as a well-meaning but oblivious suburban dad.
|
E1484875
|
NE FINISHED |
How this triple was built (4 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: Mr. Bueller | Statement: [Katie Bueller, hasParent, Mr. Bueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Bueller Context triple: [Katie Bueller, hasParent, Mr. Bueller]
-
A.
John Keating
John Keating is an unorthodox, inspirational English teacher who encourages his students to think independently and "seize the day" in the film *Dead Poets Society*.
-
B.
Dewey Finn
Dewey Finn is an enthusiastic, slacker musician who poses as a substitute teacher and forms a rock band with his students in the comedy film "School of Rock."
-
C.
Professor Callahan
Professor Callahan is a central, morally ambiguous law professor and antagonist in the Broadway musical adaptation of "Legally Blonde."
-
D.
Mr. Cady
Mr. Cady is a character in the satirical play "Beggar on Horseback," representing the pressures and absurdities of commercialism in the arts.
-
E.
Kim Billick
Kim Billick is best known as the wife of former NFL head coach and Super Bowl champion Brian Billick.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Bueller Triple: [Katie Bueller, hasParent, Mr. Bueller]
Generated description
Mr. Bueller is the father in the Bueller family from the film "Ferris Bueller's Day Off," portrayed as a well-meaning but oblivious suburban dad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Bueller Target entity description: Mr. Bueller is the father in the Bueller family from the film "Ferris Bueller's Day Off," portrayed as a well-meaning but oblivious suburban dad.
-
A.
John Keating
John Keating is an unorthodox, inspirational English teacher who encourages his students to think independently and "seize the day" in the film *Dead Poets Society*.
-
B.
Dewey Finn
Dewey Finn is an enthusiastic, slacker musician who poses as a substitute teacher and forms a rock band with his students in the comedy film "School of Rock."
-
C.
Professor Callahan
Professor Callahan is a central, morally ambiguous law professor and antagonist in the Broadway musical adaptation of "Legally Blonde."
-
D.
Mr. Cady
Mr. Cady is a character in the satirical play "Beggar on Horseback," representing the pressures and absurdities of commercialism in the arts.
-
E.
Kim Billick
Kim Billick is best known as the wife of former NFL head coach and Super Bowl champion Brian Billick.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c9054e0c81908f13a2240c200b9e |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c993004c81909cc0224947c178e0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca14cfcc81908565427b504d815e |
completed | May 17, 2026, 2 p.m. |
Created at: April 16, 2026, 6:06 p.m.