Triple
T8785360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Jones |
E209030
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Joe
Joe is the conflicted Army soldier and tragic male lead in the 1954 musical film "Carmen Jones."
|
E757699
|
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: [Carmen Jones, leadCharacter, Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Context triple: [Carmen Jones, leadCharacter, Joe]
-
A.
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."
-
B.
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.
-
C.
Joe
Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
-
D.
Joe
Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
-
E.
Joe
Joe Swanberg is an American independent filmmaker, actor, and director known for his low-budget, improvisational style and contributions to the mumblecore movement.
- 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: [Carmen Jones, leadCharacter, Joe]
Generated description
Joe is the conflicted Army soldier and tragic male lead in the 1954 musical film "Carmen Jones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Target entity description: Joe is the conflicted Army soldier and tragic male lead in the 1954 musical film "Carmen Jones."
-
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 "Show Boat," known as the African American dock worker who delivers the iconic song "Ol' Man River."
-
C.
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.
-
D.
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.
-
E.
Joe
Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5197263881908038b5e2105e9170 |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf5378c3f48190a4180c20aecb2260 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5471e9c08190963b7f1d6c2ceffe |
completed | April 3, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:42 p.m.