Triple
T13947490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaye Cowher |
E335426
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Lauren Cowher
Lauren Cowher is one of the daughters of former NFL player and coach Bill Cowher and his late wife Kaye Cowher.
|
E1071792
|
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: Lauren Cowher | Statement: [Kaye Cowher, hasChild, Lauren Cowher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Cowher Context triple: [Kaye Cowher, hasChild, Lauren Cowher]
-
A.
Pattie Mallette
Pattie Mallette is a Canadian author and film producer best known as the mother of pop singer Justin Bieber.
-
B.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
C.
Justine Thornton
Justine Thornton is a British barrister and environmental law specialist who is married to former Labour Party leader Ed Miliband.
-
D.
Julie Rhule
Julie Rhule is the wife of American football coach Matt Rhule and is known for her involvement in community and charitable activities connected to his coaching career.
-
E.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
- 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: Lauren Cowher Triple: [Kaye Cowher, hasChild, Lauren Cowher]
Generated description
Lauren Cowher is one of the daughters of former NFL player and coach Bill Cowher and his late wife Kaye Cowher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Cowher Target entity description: Lauren Cowher is one of the daughters of former NFL player and coach Bill Cowher and his late wife Kaye Cowher.
-
A.
Pattie Mallette
Pattie Mallette is a Canadian author and film producer best known as the mother of pop singer Justin Bieber.
-
B.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
C.
Justine Thornton
Justine Thornton is a British barrister and environmental law specialist who is married to former Labour Party leader Ed Miliband.
-
D.
Julie Rhule
Julie Rhule is the wife of American football coach Matt Rhule and is known for her involvement in community and charitable activities connected to his coaching career.
-
E.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
- 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_69fba1ca49a881909e77b5a2ae13265f |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6e596a081909843ea5173e60af4 |
completed | May 6, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba74fe350819080eee658bca7eaf0 |
completed | May 6, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:17 p.m.