Triple
T10207770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Prinze |
E242244
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kathy Prinze
Kathy Prinze is the widow of comedian and actor Freddie Prinze and the mother of actor Freddie Prinze Jr., known primarily for her connection to the Prinze family.
|
E850643
|
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: Kathy Prinze | Statement: [Freddie Prinze, spouse, Kathy Prinze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Prinze Context triple: [Freddie Prinze, spouse, Kathy Prinze]
-
A.
Nina Prinz
Nina Prinz is a German professional wrestler known for her work on the European independent wrestling circuit.
-
B.
Lea Prinz
Lea Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
-
C.
Karin Welge
Karin Welge is a German politician who serves as the mayor of the city of Gelsenkirchen in North Rhine-Westphalia.
-
D.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
-
E.
Rosemary Prinz
Rosemary Prinz is an American actress best known for her pioneering work in daytime television soap operas, particularly her long-running role as Penny Hughes on "As the World Turns."
- 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: Kathy Prinze Triple: [Freddie Prinze, spouse, Kathy Prinze]
Generated description
Kathy Prinze is the widow of comedian and actor Freddie Prinze and the mother of actor Freddie Prinze Jr., known primarily for her connection to the Prinze family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kathy Prinze Target entity description: Kathy Prinze is the widow of comedian and actor Freddie Prinze and the mother of actor Freddie Prinze Jr., known primarily for her connection to the Prinze family.
-
A.
Nina Prinz
Nina Prinz is a German professional wrestler known for her work on the European independent wrestling circuit.
-
B.
Lea Prinz
Lea Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
-
C.
Karin Welge
Karin Welge is a German politician who serves as the mayor of the city of Gelsenkirchen in North Rhine-Westphalia.
-
D.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
-
E.
Rosemary Prinz
Rosemary Prinz is an American actress best known for her pioneering work in daytime television soap operas, particularly her long-running role as Penny Hughes on "As the World Turns."
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f8e2b881909c51f8210f09cd4f |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7e63c588190b239f8bdb13a3f3c |
completed | April 8, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d6d0003434819093e3f82a556db79c |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df3c8f748190923db41ef1a9a03a |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 10:57 a.m.