Triple
T18243897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomer the Bear |
E436893
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Boomer
Boomer is the costumed bear mascot of the NBA’s Indiana Pacers, known for his energetic in-game performances and acrobatic dunks.
|
E1314063
|
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: Boomer | Statement: [Boomer the Bear, shortName, Boomer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomer Context triple: [Boomer the Bear, shortName, Boomer]
-
A.
Boomer
Boomer is the costumed mascot of the Springfield Thunderbirds minor league ice hockey team, entertaining fans at games and community events.
-
B.
Boomer
Boomer is one of the official mascots of the Canadian Football League’s Winnipeg Blue Bombers, known for entertaining fans at games and team events.
-
C.
Boomer
Boomer is the costumed mascot of the Trenton Thunder minor league baseball team, known for entertaining fans with on-field antics and crowd interaction.
-
D.
Boomer
Boomer is the popular nickname of Norman "Boomer" Esiason, a former NFL quarterback and current sports broadcaster.
-
E.
Boomer
Boomer is the well-known nickname of longtime ESPN sportscaster Chris Berman, famous for his energetic NFL coverage and colorful catchphrases.
- 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: Boomer Triple: [Boomer the Bear, shortName, Boomer]
Generated description
Boomer is the costumed bear mascot of the NBA’s Indiana Pacers, known for his energetic in-game performances and acrobatic dunks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boomer Target entity description: Boomer is the costumed bear mascot of the NBA’s Indiana Pacers, known for his energetic in-game performances and acrobatic dunks.
-
A.
Boomer
Boomer is the costumed mascot of the Trenton Thunder minor league baseball team, known for entertaining fans with on-field antics and crowd interaction.
-
B.
Boomer
Boomer is the costumed mascot of the Springfield Thunderbirds minor league ice hockey team, entertaining fans at games and community events.
-
C.
Boomer
Boomer is a former secondary mascot of the NHL’s Columbus Blue Jackets, known for his cannon-inspired design and brief, controversial tenure.
-
D.
Boomer
Boomer is one of the official mascots of the Canadian Football League’s Winnipeg Blue Bombers, known for entertaining fans at games and team events.
-
E.
Boomer
Boomer is the well-known nickname of longtime ESPN sportscaster Chris Berman, famous for his energetic NFL coverage and colorful catchphrases.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e5d63081908d0e6249578867a1 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac7124f88190bfc0064e00946586 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad3be75c819080f57a24747ec55f |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03aede6ea481908bb9acdb2ff17e9a |
completed | May 12, 2026, 10:51 p.m. |
Created at: April 10, 2026, 10:33 a.m.