Triple
T23531244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Brewer Shepard |
E576575
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Laura Shepard
Laura Shepard is one of the daughters of American astronaut Alan Shepard and his wife Louise Brewer Shepard.
|
E1592117
|
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: Laura Shepard | Statement: [Louise Brewer Shepard, hasChild, Laura Shepard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Shepard Context triple: [Louise Brewer Shepard, hasChild, Laura Shepard]
-
A.
Mary Beth Peil
Mary Beth Peil is an American actress and singer known for her work on Broadway, in film and television, and for originating prominent roles in major stage productions.
-
B.
Amy Eshleman
Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
E.
Laura Arnold
Laura Arnold is an American local government leader who serves as the mayor of Webster Groves, Missouri.
- 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: Laura Shepard Triple: [Louise Brewer Shepard, hasChild, Laura Shepard]
Generated description
Laura Shepard is one of the daughters of American astronaut Alan Shepard and his wife Louise Brewer Shepard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Shepard Target entity description: Laura Shepard is one of the daughters of American astronaut Alan Shepard and his wife Louise Brewer Shepard.
-
A.
Mary Beth Peil
Mary Beth Peil is an American actress and singer known for her work on Broadway, in film and television, and for originating prominent roles in major stage productions.
-
B.
Amy Eshleman
Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
E.
Laura Arnold
Laura Arnold is an American local government leader who serves as the mayor of Webster Groves, Missouri.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7759e88190aea55c65e24c081f |
completed | April 29, 2026, 7 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf559a988190926f6f2ae298da58 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0d7213f9508190a8884846e19079e3 |
completed | May 20, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0d72ad1b148190bbe5f65e84ac2837 |
completed | May 20, 2026, 8:37 a.m. |
Created at: April 17, 2026, 6:09 p.m.