Triple
T16355558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Thunder |
E397169
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Thunder
Thunder is the short name of the Berlin Thunder, an American football team based in Berlin that has competed in European leagues.
|
E1211146
|
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: Thunder | Statement: [Berlin Thunder, shortName, Thunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Context triple: [Berlin Thunder, shortName, Thunder]
-
A.
Thunder
Thunder is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
-
B.
Thunder
Thunder was the nickname of Teslim Balogun, a renowned Nigerian footballer celebrated for his powerful playing style and prolific goal-scoring.
-
C.
Thunder
Thunder is a British hard rock band formed in the late 1980s, known for its melodic, blues-influenced sound and energetic live performances.
-
D.
Thunder
"Thunder" is a pop ballad by English singer-songwriter Jessie J, released as a single from her second studio album "Alive."
-
E.
Thunder
Thunder is the popular nickname for Thunder Over Louisville, a large annual fireworks and airshow event that serves as the kickoff to the Kentucky Derby Festival in Louisville, Kentucky.
- 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: Thunder Triple: [Berlin Thunder, shortName, Thunder]
Generated description
Thunder is the short name of the Berlin Thunder, an American football team based in Berlin that has competed in European leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thunder Target entity description: Thunder is the short name of the Berlin Thunder, an American football team based in Berlin that has competed in European leagues.
-
A.
Thunder
Thunder is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
-
B.
Thunder
Thunder is the costumed mascot character for the Sioux Falls Skyforce professional basketball team.
-
C.
Thunder
Thunder is the varsity athletics team name and mascot identity for Concordia University of Edmonton’s sports programs.
-
D.
Thunder
Thunder was the nickname of Teslim Balogun, a renowned Nigerian footballer celebrated for his powerful playing style and prolific goal-scoring.
-
E.
Thunder
Thunder is the popular nickname for Thunder Over Louisville, a large annual fireworks and airshow event that serves as the kickoff to the Kentucky Derby Festival in Louisville, Kentucky.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c50763881908b115953961efef9 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003e3b113c819083e1abc512631e2b |
completed | May 10, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb888e481908eb4ed77f86cf9f3 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:07 a.m.