Triple
T878664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina State University |
E18976
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Mr. Wuf
Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
|
E103296
|
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: Mr. Wuf | Statement: [North Carolina State University, mascot, Mr. Wuf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Wuf Context triple: [North Carolina State University, mascot, Mr. Wuf]
-
A.
Wu
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
-
B.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Mervin
Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
-
E.
Kobo Daishi
Kobo Daishi, also known as Kukai, was a Japanese Buddhist monk, scholar, and founder of the Shingon school of esoteric Buddhism who became one of Japan’s most revered religious figures.
- 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: Mr. Wuf Triple: [North Carolina State University, mascot, Mr. Wuf]
Generated description
Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Wuf Target entity description: Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
-
A.
Wu
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
-
B.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Mervin
Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
-
E.
Kobo Daishi
Kobo Daishi, also known as Kukai, was a Japanese Buddhist monk, scholar, and founder of the Shingon school of esoteric Buddhism who became one of Japan’s most revered religious figures.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb1dc20819095b9bb093158b60d |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b98614cc819096e9b914084f3fcd |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba478a008190bf8c02ad6066b3cd |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.