Triple
T13947489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaye Cowher |
E335426
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Meghan Cowher
Meghan Cowher is one of the daughters of former professional basketball player and coach Kaye Cowher and NFL coach Bill Cowher.
|
E1070613
|
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: Meghan Cowher | Statement: [Kaye Cowher, hasChild, Meghan Cowher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meghan Cowher Context triple: [Kaye Cowher, hasChild, Meghan Cowher]
-
A.
Meghan Collins
Meghan Collins is the protagonist of the young adult horror novel "I'll Be Seeing You" by Mary Higgins Clark, around whom the book’s suspenseful and mysterious events revolve.
-
B.
Megan Stott
Megan Stott is an American actress best known for her role as Izzy Richardson in the television miniseries "Little Fires Everywhere."
-
C.
Megan Hipwell
Megan Hipwell is a troubled young woman whose mysterious disappearance drives the central suspense and emotional tension in the psychological thriller film "The Girl on the Train."
-
D.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
-
E.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
- 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: Meghan Cowher Triple: [Kaye Cowher, hasChild, Meghan Cowher]
Generated description
Meghan Cowher is one of the daughters of former professional basketball player and coach Kaye Cowher and NFL coach Bill Cowher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meghan Cowher Target entity description: Meghan Cowher is one of the daughters of former professional basketball player and coach Kaye Cowher and NFL coach Bill Cowher.
-
A.
Meghan Collins
Meghan Collins is the protagonist of the young adult horror novel "I'll Be Seeing You" by Mary Higgins Clark, around whom the book’s suspenseful and mysterious events revolve.
-
B.
Megan Stott
Megan Stott is an American actress best known for her role as Izzy Richardson in the television miniseries "Little Fires Everywhere."
-
C.
Megan Hipwell
Megan Hipwell is a troubled young woman whose mysterious disappearance drives the central suspense and emotional tension in the psychological thriller film "The Girl on the Train."
-
D.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
-
E.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce903c5c8190b72d83a5b842ad70 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb14bfa2c081908381bb74f040c6c8 |
completed | May 6, 2026, 10:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.