Triple
T609162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston University |
E12058
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object |
Terriers
The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
|
E76302
|
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: Terriers | Statement: [Boston University, athleticsNickname, Terriers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terriers Context triple: [Boston University, athleticsNickname, Terriers]
-
A.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
B.
Bulldogs
Bulldogs is the nickname of Yale University's men's basketball team, a historic Ivy League program competing in NCAA Division I.
-
C.
Labrador
Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
-
D.
Chihuahua
Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
-
E.
Greyhound
Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
- 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: Terriers Triple: [Boston University, athleticsNickname, Terriers]
Generated description
The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terriers Target entity description: The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
-
A.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
B.
Bulldogs
Bulldogs is the nickname of Yale University's men's basketball team, a historic Ivy League program competing in NCAA Division I.
-
C.
Labrador
Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
-
D.
Chihuahua
Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
-
E.
Greyhound
Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df54eec8190af3f5f04c01d5d2a |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a52eacec94819094e920ab1c0659e8 |
completed | March 2, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a53062c138819095262b45396fc97a |
completed | March 2, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a530f8c6b08190b987016e8e8c11b6 |
completed | March 2, 2026, 6:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.