Triple
T13791666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bring It On |
E331412
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Big Red
Big Red is the fiery and assertive captain of the Toros cheerleading squad in the teen comedy film "Bring It On."
|
E1061198
|
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: Big Red | Statement: [Bring It On, hasCharacter, Big Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Red Context triple: [Bring It On, hasCharacter, Big Red]
-
A.
Big Red
Big Red is the costumed cardinal bird who serves as the energetic and recognizable mascot for the NFL’s Arizona Cardinals.
-
B.
Big Red
Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
-
C.
Big Red
Big Red is a cinnamon-flavored chewing gum brand produced by the Wrigley Company and known for its strong, spicy-sweet taste.
-
D.
Big Red
Big Red is the nickname and mascot representing Denison University's athletic teams and school spirit.
-
E.
Big Red
Big Red is the nickname and symbol representing the athletic teams and school spirit of The Lawrenceville School in New Jersey.
- 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: Big Red Triple: [Bring It On, hasCharacter, Big Red]
Generated description
Big Red is the fiery and assertive captain of the Toros cheerleading squad in the teen comedy film "Bring It On."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Red Target entity description: Big Red is the fiery and assertive captain of the Toros cheerleading squad in the teen comedy film "Bring It On."
-
A.
Big Red
Big Red is the furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
-
B.
Big Red
Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
-
C.
Big Red
Big Red is the nickname and symbol representing the athletic teams and school spirit of The Lawrenceville School in New Jersey.
-
D.
Big Red
Big Red is the nickname and mascot representing Denison University's athletic teams and school spirit.
-
E.
Big Red
Big Red is the costumed cardinal bird who serves as the energetic and recognizable mascot for the NFL’s Arizona Cardinals.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0817bd88190a46e539f2ff24d83 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 9, 2026, 10:11 p.m.