Triple
T22521425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barringer High School |
E556785
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Blue Bear
Blue Bear is the school mascot representing Barringer High School’s spirit and athletic teams.
|
E1540393
|
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: Blue Bear | Statement: [Barringer High School, mascot, Blue Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Bear Context triple: [Barringer High School, mascot, Blue Bear]
-
A.
Blue Bear
Blue Bear is the official mascot of Livingstone College, representing the school’s athletic teams and campus spirit.
-
B.
Sugar Bears
Sugar Bears is the nickname for the women's athletic teams representing the University of Central Arkansas in collegiate sports.
-
C.
Crystal Bear
The Crystal Bear is a youth jury prize at the Berlin International Film Festival that honors outstanding films for children and young audiences.
-
D.
Big Blue Bear
Big Blue Bear is a famous large blue bear sculpture that peers into the windows of the Colorado Convention Center in Denver, Colorado.
-
E.
We Baby Bears
We Baby Bears is an animated television spin-off and prequel to We Bare Bears that follows the youthful adventures of baby Grizz, Panda, and Ice Bear as they search for a place to call home.
- 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: Blue Bear Triple: [Barringer High School, mascot, Blue Bear]
Generated description
Blue Bear is the school mascot representing Barringer High School’s spirit and athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Bear Target entity description: Blue Bear is the school mascot representing Barringer High School’s spirit and athletic teams.
-
A.
Blue Bear
Blue Bear is the official mascot of Livingstone College, representing the school’s athletic teams and campus spirit.
-
B.
Sugar Bears
Sugar Bears is the nickname for the women's athletic teams representing the University of Central Arkansas in collegiate sports.
-
C.
Crystal Bear
The Crystal Bear is a youth jury prize at the Berlin International Film Festival that honors outstanding films for children and young audiences.
-
D.
Big Blue Bear
Big Blue Bear is a famous large blue bear sculpture that peers into the windows of the Colorado Convention Center in Denver, Colorado.
-
E.
We Baby Bears
We Baby Bears is an animated television spin-off and prequel to We Bare Bears that follows the youthful adventures of baby Grizz, Panda, and Ice Bear as they search for a place to call home.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17f44de48190a086900e1ca5cdc1 |
completed | May 18, 2026, 1:45 p.m. |
| NEDg | Description generation | batch_6a0b189b025c8190935d77837edac094 |
completed | May 18, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b193a558c81909c8c8c8bd82f7bda |
completed | May 18, 2026, 1:50 p.m. |
Created at: April 16, 2026, 8:50 p.m.