Triple
T10402507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marv Albert |
E245180
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Kenny Albert
Kenny Albert is an American sportscaster known for his play-by-play work across major sports leagues, including the NFL, NHL, MLB, and NBA.
|
E863746
|
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: Kenny Albert | Statement: [Marv Albert, relative, Kenny Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Albert Context triple: [Marv Albert, relative, Kenny Albert]
-
A.
Brent Maher
Brent Maher is an American record producer and songwriter best known for his work in country music, including hit collaborations with artists like The Judds.
-
B.
Gus Johnson
Gus Johnson was an American jazz drummer known for his swinging style and work with prominent big bands and blues musicians in the mid-20th century.
-
C.
Mike Golic
Mike Golic is a former NFL defensive lineman and longtime ESPN radio personality best known for co-hosting the popular sports talk show "Mike and Mike."
-
D.
Lou Carducci
Lou Carducci is a fictional character played by American actress and model Mackenzie Foy.
-
E.
Chris Berman
Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature 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: Kenny Albert Triple: [Marv Albert, relative, Kenny Albert]
Generated description
Kenny Albert is an American sportscaster known for his play-by-play work across major sports leagues, including the NFL, NHL, MLB, and NBA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenny Albert Target entity description: Kenny Albert is an American sportscaster known for his play-by-play work across major sports leagues, including the NFL, NHL, MLB, and NBA.
-
A.
Brent Maher
Brent Maher is an American record producer and songwriter best known for his work in country music, including hit collaborations with artists like The Judds.
-
B.
Gus Johnson
Gus Johnson was an American jazz drummer known for his swinging style and work with prominent big bands and blues musicians in the mid-20th century.
-
C.
Mike Golic
Mike Golic is a former NFL defensive lineman and longtime ESPN radio personality best known for co-hosting the popular sports talk show "Mike and Mike."
-
D.
Lou Carducci
Lou Carducci is a fictional character played by American actress and model Mackenzie Foy.
-
E.
Chris Berman
Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e84f7a08190b83ecfec72efb7a7 |
completed | April 10, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:08 p.m.