Triple
T1532057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Crew |
E32464
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
The Crew
The Crew is the popular nickname for the Columbus Crew, a Major League Soccer club based in Columbus, Ohio.
|
E173656
|
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: The Crew | Statement: [Columbus Crew, nickname, The Crew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crew Context triple: [Columbus Crew, nickname, The Crew]
-
A.
Thunder Run
Thunder Run is an indoor, mine train-style roller coaster at Canada's Wonderland that spirals through the park’s central mountain structure.
-
B.
The League
The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
-
C.
L’Équipe Spectra
L’Équipe Spectra is a Montreal-based cultural production company known for organizing major festivals and events, including the Montreal International Jazz Festival.
-
D.
Toys for Bob
Toys for Bob is an American video game developer best known for creating the Skylanders series and working on remakes like the Spyro Reignited Trilogy.
-
E.
Autoport
Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
- 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: The Crew Triple: [Columbus Crew, nickname, The Crew]
Generated description
The Crew is the popular nickname for the Columbus Crew, a Major League Soccer club based in Columbus, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Crew Target entity description: The Crew is the popular nickname for the Columbus Crew, a Major League Soccer club based in Columbus, Ohio.
-
A.
Thunder Run
Thunder Run is an indoor, mine train-style roller coaster at Canada's Wonderland that spirals through the park’s central mountain structure.
-
B.
The League
The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
-
C.
L’Équipe Spectra
L’Équipe Spectra is a Montreal-based cultural production company known for organizing major festivals and events, including the Montreal International Jazz Festival.
-
D.
Toys for Bob
Toys for Bob is an American video game developer best known for creating the Skylanders series and working on remakes like the Spyro Reignited Trilogy.
-
E.
Autoport
Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90816b5e88190aa92a8558e35744b |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad295a03d881909071fb437c2d19ba |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a18a79c81908f04ba9aa55d52a0 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a8deae8819095731fdd1b4bd310 |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.