Triple
T2453982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Nantz |
E53773
|
entity |
| Predicate | formerSpouse |
P493
|
FINISHED |
| Object |
Lorrie Nantz
Lorrie Nantz is best known as the ex-wife of prominent American sportscaster Jim Nantz.
|
E267735
|
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: Lorrie Nantz | Statement: [Jim Nantz, formerSpouse, Lorrie Nantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorrie Nantz Context triple: [Jim Nantz, formerSpouse, Lorrie Nantz]
-
A.
Erin Andrews
Erin Andrews is an American sportscaster and television personality best known for her NFL and college football reporting and hosting roles on major sports networks.
-
B.
Robin Roberts
Robin Roberts was a Hall of Fame right-handed pitcher who became one of the Philadelphia Phillies’ greatest stars during the 1950s.
-
C.
Cris Collinsworth
Cris Collinsworth is a former NFL wide receiver who became a prominent American football television analyst and color commentator, best known for his work on major network broadcasts of NFL games.
-
D.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
E.
Jim Nantz
Jim Nantz is a prominent American sportscaster best known for his long-running play-by-play coverage of major events such as the NFL, NCAA basketball, and The Masters on CBS.
- 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: Lorrie Nantz Triple: [Jim Nantz, formerSpouse, Lorrie Nantz]
Generated description
Lorrie Nantz is best known as the ex-wife of prominent American sportscaster Jim Nantz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorrie Nantz Target entity description: Lorrie Nantz is best known as the ex-wife of prominent American sportscaster Jim Nantz.
-
A.
Erin Andrews
Erin Andrews is an American sportscaster and television personality best known for her NFL and college football reporting and hosting roles on major sports networks.
-
B.
Robin Roberts
Robin Roberts was a Hall of Fame right-handed pitcher who became one of the Philadelphia Phillies’ greatest stars during the 1950s.
-
C.
Cris Collinsworth
Cris Collinsworth is a former NFL wide receiver who became a prominent American football television analyst and color commentator, best known for his work on major network broadcasts of NFL games.
-
D.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
E.
Jim Nantz
Jim Nantz is a prominent American sportscaster best known for his long-running play-by-play coverage of major events such as the NFL, NCAA basketball, and The Masters on CBS.
- 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.