Triple
T3056231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaches |
E60486
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
CC Bloom
CC Bloom is a passionate, outspoken singer and performer whose lifelong, tumultuous friendship with a more reserved woman forms the emotional core of the film "Beaches."
|
E323383
|
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: CC Bloom | Statement: [Beaches, mainCharacter, CC Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CC Bloom Context triple: [Beaches, mainCharacter, CC Bloom]
-
A.
Will Bloom
Will Bloom is the introspective son in the film "Big Fish," whose strained relationship with his storytelling father drives the movie’s exploration of truth, memory, and family.
-
B.
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Steve Bloom
Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
-
E.
Cecil Castellucci
Cecil Castellucci is an American writer and cartoonist best known for her young adult novels and comic books, including works published by DC Comics and in the Star Wars universe.
- 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: CC Bloom Triple: [Beaches, mainCharacter, CC Bloom]
Generated description
CC Bloom is a passionate, outspoken singer and performer whose lifelong, tumultuous friendship with a more reserved woman forms the emotional core of the film "Beaches."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CC Bloom Target entity description: CC Bloom is a passionate, outspoken singer and performer whose lifelong, tumultuous friendship with a more reserved woman forms the emotional core of the film "Beaches."
-
A.
Will Bloom
Will Bloom is the introspective son in the film "Big Fish," whose strained relationship with his storytelling father drives the movie’s exploration of truth, memory, and family.
-
B.
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Steve Bloom
Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
-
E.
Cecil Castellucci
Cecil Castellucci is an American writer and cartoonist best known for her young adult novels and comic books, including works published by DC Comics and in the Star Wars universe.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efcf4da08190a9fd5fd88bba0358 |
completed | March 11, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f1ce72388190871884c99526057d |
completed | March 11, 2026, 10:50 p.m. |
Created at: March 8, 2026, 3:02 p.m.