Triple
T3310899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Bateman |
E69567
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Justine Bateman
Justine Bateman is an American actress, writer, and director best known for her role as Mallory Keaton on the 1980s sitcom "Family Ties."
|
E348762
|
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: Justine Bateman | Statement: [Jason Bateman, sibling, Justine Bateman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justine Bateman Context triple: [Jason Bateman, sibling, Justine Bateman]
-
A.
Francesca Nora Bateman
Francesca Nora Bateman is the daughter of American actor and filmmaker Jason Bateman and his wife Amanda Anka.
-
B.
Samantha Lewes
Samantha Lewes was an American actress best known as Tom Hanks’s first wife and the mother of actors Colin Hanks and Elizabeth Hanks.
-
C.
Bella Thornton
Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
-
D.
Lucy Davis
Lucy Davis is a British actress best known for her comedic and character roles in film and television, including her appearance in the 2017 superhero film "Wonder Woman."
-
E.
Josie Lloyd
Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
- 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: Justine Bateman Triple: [Jason Bateman, sibling, Justine Bateman]
Generated description
Justine Bateman is an American actress, writer, and director best known for her role as Mallory Keaton on the 1980s sitcom "Family Ties."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justine Bateman Target entity description: Justine Bateman is an American actress, writer, and director best known for her role as Mallory Keaton on the 1980s sitcom "Family Ties."
-
A.
Francesca Nora Bateman
Francesca Nora Bateman is the daughter of American actor and filmmaker Jason Bateman and his wife Amanda Anka.
-
B.
Samantha Lewes
Samantha Lewes was an American actress best known as Tom Hanks’s first wife and the mother of actors Colin Hanks and Elizabeth Hanks.
-
C.
Bella Thornton
Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
-
D.
Lucy Davis
Lucy Davis is a British actress best known for her comedic and character roles in film and television, including her appearance in the 2017 superhero film "Wonder Woman."
-
E.
Josie Lloyd
Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ec80508190baa78435b983b7b5 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a73c1c8819082e522221a8b2a54 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c34cc388190a5fab8e9b2a1aa92 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da025048190b7d1611df82a542c |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:11 p.m.