Triple
T6730840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airborne (1993 film) |
E153628
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Augie
Augie is the teenage protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back attitude and exceptional inline skating skills.
|
E615971
|
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: Augie | Statement: [Airborne (1993 film), mainCharacter, Augie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augie Context triple: [Airborne (1993 film), mainCharacter, Augie]
-
A.
Augie
Augie is a supporting character in Woody Allen's film "Blue Jasmine," portrayed as a working-class man whose life is upended by his ex-wife Jasmine's past deceptions.
-
B.
Jeannette
Jeannette is a surname most notably associated with Buddy Jeannette, a prominent American professional basketball player and coach.
-
C.
Cliff Bradshaw
Cliff Bradshaw is the American novelist and central protagonist in the musical "Cabaret," whose relationship with nightclub singer Sally Bowles unfolds against the rise of Nazism in 1930s Berlin.
-
D.
Franny
Franny is a common diminutive or nickname for the given name Frances.
-
E.
Jody
Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
- 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: Augie Triple: [Airborne (1993 film), mainCharacter, Augie]
Generated description
Augie is the teenage protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back attitude and exceptional inline skating skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Augie Target entity description: Augie is the teenage protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back attitude and exceptional inline skating skills.
-
A.
Augie
Augie is a supporting character in Woody Allen's film "Blue Jasmine," portrayed as a working-class man whose life is upended by his ex-wife Jasmine's past deceptions.
-
B.
Jeannette
Jeannette is a surname most notably associated with Buddy Jeannette, a prominent American professional basketball player and coach.
-
C.
Cliff Bradshaw
Cliff Bradshaw is the American novelist and central protagonist in the musical "Cabaret," whose relationship with nightclub singer Sally Bowles unfolds against the rise of Nazism in 1930s Berlin.
-
D.
Franny
Franny is a common diminutive or nickname for the given name Frances.
-
E.
Jody
Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b029960819090de37c99e80ceb9 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bf3e2fc8190bc5d044b890ddc02 |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cece560819099b488a95a3c79c5 |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.