Triple
T7424424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NC State Wolfpack football |
E171331
|
entity |
| Predicate | fightSong |
P4835
|
FINISHED |
| Object |
Red and White Song
"Red and White Song" is the traditional fight song of North Carolina State University's athletic teams, especially associated with NC State Wolfpack football.
|
E663283
|
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: Red and White Song | Statement: [NC State Wolfpack football, fightSong, Red and White Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red and White Song Context triple: [NC State Wolfpack football, fightSong, Red and White Song]
-
A.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
B.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
C.
The Universal Song
The Universal Song is a track by the band Cafe Racers, likely reflecting their signature style within their musical catalog.
-
D.
You Song
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
-
E.
Song for Chesh
"Song for Chesh" is a track by British DJ and producer Fatboy Slim from his 2004 album "Palookaville," blending his signature big beat style with a more laid-back, melodic groove.
- 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: Red and White Song Triple: [NC State Wolfpack football, fightSong, Red and White Song]
Generated description
"Red and White Song" is the traditional fight song of North Carolina State University's athletic teams, especially associated with NC State Wolfpack football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red and White Song Target entity description: "Red and White Song" is the traditional fight song of North Carolina State University's athletic teams, especially associated with NC State Wolfpack football.
-
A.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
B.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
C.
The Universal Song
The Universal Song is a track by the band Cafe Racers, likely reflecting their signature style within their musical catalog.
-
D.
You Song
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
-
E.
Song for Chesh
"Song for Chesh" is a track by British DJ and producer Fatboy Slim from his 2004 album "Palookaville," blending his signature big beat style with a more laid-back, melodic groove.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fd379cc81908b52c45fddea9870 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8209b7fa48190aea45a6b21ad8de1 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:12 p.m.