Triple
T15132280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Buck |
E361448
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Miles Russell
Miles Russell is a mischievous young boy from the 1989 comedy film "Uncle Buck," known for his humorous interactions with his unconventional uncle.
|
E1137832
|
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: Miles Russell | Statement: [Uncle Buck, mainCharacter, Miles Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Russell Context triple: [Uncle Buck, mainCharacter, Miles Russell]
-
A.
Miles Drentell
Miles Drentell is a manipulative, morally ambiguous advertising executive and recurring antagonist on the television drama "thirtysomething."
-
B.
Miles Burke
Miles Burke is one of the children of American actress Joan Cusack.
-
C.
Reid Miles
Reid Miles was an influential American graphic designer best known for his iconic, minimalist album covers for Blue Note Records in the 1950s and 1960s.
-
D.
Miles Chapin
Miles Chapin is an American actor known for his character roles in film and television, particularly in comedies and cult favorites from the 1970s and 1980s.
-
E.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
- 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: Miles Russell Triple: [Uncle Buck, mainCharacter, Miles Russell]
Generated description
Miles Russell is a mischievous young boy from the 1989 comedy film "Uncle Buck," known for his humorous interactions with his unconventional uncle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miles Russell Target entity description: Miles Russell is a mischievous young boy from the 1989 comedy film "Uncle Buck," known for his humorous interactions with his unconventional uncle.
-
A.
Miles Drentell
Miles Drentell is a manipulative, morally ambiguous advertising executive and recurring antagonist on the television drama "thirtysomething."
-
B.
Miles Burke
Miles Burke is one of the children of American actress Joan Cusack.
-
C.
Reid Miles
Reid Miles was an influential American graphic designer best known for his iconic, minimalist album covers for Blue Note Records in the 1950s and 1960s.
-
D.
Miles Chapin
Miles Chapin is an American actor known for his character roles in film and television, particularly in comedies and cult favorites from the 1970s and 1980s.
-
E.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.