Triple
T10553796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Shop |
E249021
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Joe
Joe is a fictional character from the film "Beauty Shop," contributing to the movie’s comedic and dramatic storyline.
|
E876899
|
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: Joe | Statement: [Beauty Shop, character, Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Context triple: [Beauty Shop, character, Joe]
-
A.
Joe
Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
-
B.
Joe
"Joe" is a 1970 American drama film, directed by John G. Avildsen, that explores class conflict and reactionary violence through the unlikely alliance between a wealthy executive and a bigoted factory worker.
-
C.
Joe
Joe is a central character in the musical "Show Boat," known as the African American dock worker who delivers the iconic song "Ol' Man River."
-
D.
Joe
Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
-
E.
Joe
Joe is the conflicted Army soldier and tragic male lead in the 1954 musical film "Carmen Jones."
- 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: Joe Triple: [Beauty Shop, character, Joe]
Generated description
Joe is a fictional character from the film "Beauty Shop," contributing to the movie’s comedic and dramatic storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Target entity description: Joe is a fictional character from the film "Beauty Shop," contributing to the movie’s comedic and dramatic storyline.
-
A.
Joe
Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
-
B.
Joe
Joe is a central character in the musical "The Most Happy Fella," serving as the young, attractive ranch hand whose romantic involvement complicates the story’s love triangle.
-
C.
Joe
Joe is a central immortal warrior in the film "The Old Guard," known for his deep bond with fellow immortal Nicky and his role in the covert team of centuries-old fighters.
-
D.
Joe
Joe is the shortened name of Immortan Joe, the tyrannical warlord and primary antagonist in the film "Mad Max: Fury Road."
-
E.
Joe
Joe is a character in Woody Allen's nostalgic 1987 film "Radio Days," which portrays life in 1940s New York through the lens of a young boy's memories of the golden age of radio.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d527118da081909ca61bc555a17609 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a10f17081909fd9465cf35685a1 |
completed | April 10, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d97c7bc87481908d50eb6f294170eb |
completed | April 10, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 6, 2026, 12:34 p.m.