Triple
T6286154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz |
E140905
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Buzz |
E140905
|
NE FINISHED |
How this triple was built (2 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: Buzz | Statement: [Buzz, hasNickname, Buzz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buzz Context triple: [Buzz, hasNickname, Buzz]
-
A.
Buzz
chosen
Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
-
B.
Buzz
Buzz is the yellow jacket costumed mascot of the Georgia Institute of Technology, known for energizing crowds at the university’s athletic and campus events.
-
C.
Buzz
Buzz is one of the official mascots of the Canadian Football League’s Winnipeg Blue Bombers, entertaining fans and representing the team at games and community events.
-
D.
Buzz
Buzz is the costumed bee mascot representing the Concordia Stingers athletic teams of Concordia University in Montreal.
-
E.
Buzzsaw
Buzzsaw is a Decepticon cassette-drone from the Transformers franchise, known for serving Soundwave as a lethal, bird-like aerial scout and attacker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196defc08190810c6d208ade918b |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:26 p.m.