Triple
T1294502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California, Los Angeles |
E27622
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Joe Bruin
Joe Bruin is the costumed bear mascot who represents the UCLA Bruins at the University of California, Los Angeles.
|
E147361
|
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: Joe Bruin | Statement: [University of California, Los Angeles, mascot, Joe Bruin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Bruin Context triple: [University of California, Los Angeles, mascot, Joe Bruin]
-
A.
Brad Daugherty
Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
-
B.
Walter Bryan Emery
Walter Bryan Emery was a prominent British Egyptologist and archaeologist best known for his extensive excavations and research on early dynastic tombs and monuments in Egypt.
-
C.
Ed Eagan
Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
-
D.
Bobby Morrow
Bobby Morrow was an American sprinter and three-time Olympic gold medalist renowned for dominating the 100m and 200m events in the mid-1950s.
-
E.
Leetch
Leetch is the surname of Brian Leetch, a Hall of Fame American ice hockey defenseman best known for his stellar NHL career with the New York Rangers.
- 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: Joe Bruin Triple: [University of California, Los Angeles, mascot, Joe Bruin]
Generated description
Joe Bruin is the costumed bear mascot who represents the UCLA Bruins at the University of California, Los Angeles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Bruin Target entity description: Joe Bruin is the costumed bear mascot who represents the UCLA Bruins at the University of California, Los Angeles.
-
A.
Brad Daugherty
Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
-
B.
Walter Bryan Emery
Walter Bryan Emery was a prominent British Egyptologist and archaeologist best known for his extensive excavations and research on early dynastic tombs and monuments in Egypt.
-
C.
Ed Eagan
Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
-
D.
Bobby Morrow
Bobby Morrow was an American sprinter and three-time Olympic gold medalist renowned for dominating the 100m and 200m events in the mid-1950s.
-
E.
Leetch
Leetch is the surname of Brian Leetch, a Hall of Fame American ice hockey defenseman best known for his stellar NHL career with the New York Rangers.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f2eb608190a0ac47a73adae19b |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc1e7948190a1ecd240c751d258 |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad6df8f08190bea3b43f15ef3a09 |
completed | March 7, 2026, 10:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acadd171b08190a5454e75babd39a3 |
completed | March 7, 2026, 10:59 p.m. |
Created at: March 1, 2026, 7:51 p.m.