Triple
T1197372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Big Red football |
E25698
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
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.
|
E136572
|
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: [Cornell Big Red football, nickname, Big Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Red Context triple: [Cornell Big Red football, nickname, Big Red]
-
A.
Big Red
Big Red is the nickname of the former St. Louis Cardinals NFL franchise, known for its red uniforms and long, often struggling history before relocating and becoming the Arizona Cardinals.
-
B.
Big Red
Big Red is the costumed cardinal bird who serves as the energetic and recognizable mascot for the NFL’s Arizona Cardinals.
-
C.
The Reds
The Reds is the common nickname for Toronto FC, a professional soccer club based in Toronto that competes in Major League Soccer.
-
D.
The Reds
The Reds is the widely used nickname for Liverpool Football Club, one of England’s most successful and historically significant football teams.
-
E.
Reds
Reds is a Roman chariot racing faction known for competing in venues such as the Circus Maximus.
- 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: [Cornell Big Red football, nickname, Big Red]
Generated description
Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Red Target entity description: Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
-
A.
Big Red
Big Red is the nickname of the former St. Louis Cardinals NFL franchise, known for its red uniforms and long, often struggling history before relocating and becoming the Arizona Cardinals.
-
B.
Big Red
Big Red is the costumed cardinal bird who serves as the energetic and recognizable mascot for the NFL’s Arizona Cardinals.
-
C.
The Reds
The Reds is the common nickname for Toronto FC, a professional soccer club based in Toronto that competes in Major League Soccer.
-
D.
The Reds
The Reds is the widely used nickname for Liverpool Football Club, one of England’s most successful and historically significant football teams.
-
E.
Reds
Reds is a Roman chariot racing faction known for competing in venues such as the Circus Maximus.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7658cae8819081da26480926ff83 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac770141a88190b71552d46fb4d2ad |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac777a7768819098b9d4dd771a6750 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:46 p.m.