Triple
T2453985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Nantz |
E53773
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jameson Nantz
Jameson Nantz is the son of renowned American sportscaster Jim Nantz.
|
E267736
|
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: Jameson Nantz | Statement: [Jim Nantz, hasChild, Jameson Nantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jameson Nantz Context triple: [Jim Nantz, hasChild, Jameson Nantz]
-
A.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
-
B.
Jason Fulman
Jason Fulman is a mathematician known for his work in probability theory and combinatorics, and for being a doctoral student of Persi Diaconis.
-
C.
Jack Dunphy
Jack Dunphy was an American novelist and playwright best known for his long-term romantic and literary partnership with Truman Capote.
-
D.
Matt Eversmann
Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
E.
Micah Fitzerman-Blue
Micah Fitzerman-Blue is an American screenwriter and producer best known for co-writing the Fred Rogers-inspired film "A Beautiful Day in the Neighborhood."
- 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: Jameson Nantz Triple: [Jim Nantz, hasChild, Jameson Nantz]
Generated description
Jameson Nantz is the son of renowned American sportscaster Jim Nantz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jameson Nantz Target entity description: Jameson Nantz is the son of renowned American sportscaster Jim Nantz.
-
A.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
-
B.
Jason Fulman
Jason Fulman is a mathematician known for his work in probability theory and combinatorics, and for being a doctoral student of Persi Diaconis.
-
C.
Jack Dunphy
Jack Dunphy was an American novelist and playwright best known for his long-term romantic and literary partnership with Truman Capote.
-
D.
Matt Eversmann
Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
E.
Micah Fitzerman-Blue
Micah Fitzerman-Blue is an American screenwriter and producer best known for co-writing the Fred Rogers-inspired film "A Beautiful Day in the Neighborhood."
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f7f85c8190a60970b6adb7fe80 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c7c90c8190ba5ed3cece5e049f |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5ca95dc8190b0f7f20d2128ae93 |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef632e2e08190b21023cbb0f12be8 |
completed | March 9, 2026, 4:32 p.m. |
Created at: March 6, 2026, 9:44 p.m.