Triple
T3294273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLVII |
E69174
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object |
Jerome Boger
Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
|
E444099
|
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: Jerome Boger | Statement: [Super Bowl XLVII, referee, Jerome Boger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerome Boger Context triple: [Super Bowl XLVII, referee, Jerome Boger]
-
A.
Charles Begole
Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Jerome Newman
Jerome Newman was an American investor best known as the business partner of Benjamin Graham and co-founder of the influential Graham-Newman investment firm.
-
D.
Norbert Brodine
Norbert Brodine was an American cinematographer known for his work on numerous Hollywood films from the silent era through the mid-20th century, particularly in film noir and crime dramas.
-
E.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
- 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: Jerome Boger Triple: [Super Bowl XLVII, referee, Jerome Boger]
Generated description
Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerome Boger Target entity description: Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
-
A.
Charles Begole
Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Jerome Newman
Jerome Newman was an American investor best known as the business partner of Benjamin Graham and co-founder of the influential Graham-Newman investment firm.
-
D.
Norbert Brodine
Norbert Brodine was an American cinematographer known for his work on numerous Hollywood films from the silent era through the mid-20th century, particularly in film noir and crime dramas.
-
E.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65076d970819098246f2533b7519f |
completed | March 15, 2026, 6:23 a.m. |
| NEDg | Description generation | batch_69b6519e30fc819098de2671c3aa89b9 |
completed | March 15, 2026, 6:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6521feae08190a029acdece360863 |
completed | March 15, 2026, 6:30 a.m. |
Created at: March 8, 2026, 3:10 p.m.