Triple
T14956240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Kerrigan |
E372933
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object |
Brenda Kerrigan
Brenda Kerrigan is best known as the mother of American figure skater and Olympic medalist Nancy Kerrigan.
|
E1190918
|
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: Brenda Kerrigan | Statement: [Nancy Kerrigan, hasMother, Brenda Kerrigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Kerrigan Context triple: [Nancy Kerrigan, hasMother, Brenda Kerrigan]
-
A.
Patricia Kerrigan
Patricia Kerrigan is an actress known for her role in the biographical film "Miss Potter" about author Beatrix Potter.
-
B.
Arlene Donovan
Arlene Donovan is a film producer best known for her work on the acclaimed 1984 drama "Places in the Heart."
-
C.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
D.
Maureen Nolan
Maureen Nolan is an Irish-born English singer and actress best known as a member of the pop group The Nolans.
-
E.
Colleen Galaher
Colleen Galaher is a central fictional character in James Patterson’s thriller novel "Cradle and All," around whom much of the book’s mystery and suspense revolves.
- 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: Brenda Kerrigan Triple: [Nancy Kerrigan, hasMother, Brenda Kerrigan]
Generated description
Brenda Kerrigan is best known as the mother of American figure skater and Olympic medalist Nancy Kerrigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenda Kerrigan Target entity description: Brenda Kerrigan is best known as the mother of American figure skater and Olympic medalist Nancy Kerrigan.
-
A.
Patricia Kerrigan
Patricia Kerrigan is an actress known for her role in the biographical film "Miss Potter" about author Beatrix Potter.
-
B.
Arlene Donovan
Arlene Donovan is a film producer best known for her work on the acclaimed 1984 drama "Places in the Heart."
-
C.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
D.
Maureen Nolan
Maureen Nolan is an Irish-born English singer and actress best known as a member of the pop group The Nolans.
-
E.
Colleen Galaher
Colleen Galaher is a central fictional character in James Patterson’s thriller novel "Cradle and All," around whom much of the book’s mystery and suspense revolves.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbb7b1e48190b55c40e0cb837446 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 2:40 a.m.