Triple
T423464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.C. United |
E8154
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
|
E53789
|
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: Black-and-Red | Statement: [D.C. United, nickname, Black-and-Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black-and-Red Context triple: [D.C. United, nickname, Black-and-Red]
-
A.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
D.
Red 1
Red 1 is the callsign used by the team leader of the Royal Air Force's Red Arrows aerobatic display team.
-
E.
Colored Town
Colored Town was the early 20th-century African American neighborhood in Miami that later became known as Overtown, historically serving as a major cultural and residential center for Black residents during segregation.
- 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: Black-and-Red Triple: [D.C. United, nickname, Black-and-Red]
Generated description
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black-and-Red Target entity description: Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
A.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
D.
Red 1
Red 1 is the callsign used by the team leader of the Royal Air Force's Red Arrows aerobatic display team.
-
E.
Colored Town
Colored Town was the early 20th-century African American neighborhood in Miami that later became known as Overtown, historically serving as a major cultural and residential center for Black residents during segregation.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42a15efe88190b1dc3337bd775723 |
completed | March 1, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69a42a7dc3108190ad644aee25d95d50 |
completed | March 1, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a42b19e7148190816b50e00319b12b |
completed | March 1, 2026, 12:03 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.