Triple
T8412984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Jam |
E198665
|
entity |
| Predicate | hasCommentaryBy |
P4244
|
FINISHED |
| Object |
Tim Kitzrow
Tim Kitzrow is a sports announcer best known as the iconic, over-the-top voice of the classic arcade basketball video game NBA Jam.
|
E732872
|
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: Tim Kitzrow | Statement: [NBA Jam, hasCommentaryBy, Tim Kitzrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Kitzrow Context triple: [NBA Jam, hasCommentaryBy, Tim Kitzrow]
-
A.
Greg Morrisett
Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
-
B.
Sid Phillips
Sid Phillips is the sadistic, toy-destroying neighborhood bully who serves as the primary human antagonist in Pixar's original Toy Story film.
-
C.
Brett Gurewitz
Brett Gurewitz is an American guitarist, songwriter, and record producer best known as a founding member of the punk rock band Bad Religion and the founder of Epitaph Records.
-
D.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
E.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
- 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: Tim Kitzrow Triple: [NBA Jam, hasCommentaryBy, Tim Kitzrow]
Generated description
Tim Kitzrow is a sports announcer best known as the iconic, over-the-top voice of the classic arcade basketball video game NBA Jam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Kitzrow Target entity description: Tim Kitzrow is a sports announcer best known as the iconic, over-the-top voice of the classic arcade basketball video game NBA Jam.
-
A.
Greg Morrisett
Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
-
B.
Sid Phillips
Sid Phillips is the sadistic, toy-destroying neighborhood bully who serves as the primary human antagonist in Pixar's original Toy Story film.
-
C.
Brett Gurewitz
Brett Gurewitz is an American guitarist, songwriter, and record producer best known as a founding member of the punk rock band Bad Religion and the founder of Epitaph Records.
-
D.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
E.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.