Triple
T7880340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Devils |
E182961
|
entity |
| Predicate | hasFightSong |
P4835
|
FINISHED |
| Object |
Maroon and Gold
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
|
E701181
|
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: Maroon and Gold | Statement: [Sun Devils, hasFightSong, Maroon and Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maroon and Gold Context triple: [Sun Devils, hasFightSong, Maroon and Gold]
-
A.
Black on Maroon
Black on Maroon is a 1958 abstract color field painting by Mark Rothko, known for its large, brooding planes of dark color that exemplify his mature style and emotional intensity.
-
B.
The Green and Gold
The Green and Gold is a popular nickname for the Portland Timbers, the Major League Soccer club based in Portland, Oregon.
-
C.
Chicago maroon and burnt orange
Chicago maroon and burnt orange are the distinctive official colors associated with Virginia Tech’s athletic teams and branding.
-
D.
Aggie Blue
Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
-
E.
Yale Blue
Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
- 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: Maroon and Gold Triple: [Sun Devils, hasFightSong, Maroon and Gold]
Generated description
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maroon and Gold Target entity description: "Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
-
A.
Black on Maroon
Black on Maroon is a 1958 abstract color field painting by Mark Rothko, known for its large, brooding planes of dark color that exemplify his mature style and emotional intensity.
-
B.
The Green and Gold
The Green and Gold is a popular nickname for the Portland Timbers, the Major League Soccer club based in Portland, Oregon.
-
C.
Chicago maroon and burnt orange
Chicago maroon and burnt orange are the distinctive official colors associated with Virginia Tech’s athletic teams and branding.
-
D.
Aggie Blue
Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
-
E.
Yale Blue
Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bffbc481908e868ab98a38e10a |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b86c20081909aa029cda7c48d44 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 4:58 p.m.