Triple
T12278671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Ties |
E292657
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Justine Bateman |
E348762
|
NE FINISHED |
How this triple was built (2 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: [Family Ties, portrayedBy, Justine Bateman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justine Bateman Context triple: [Family Ties, portrayedBy, Justine Bateman]
-
A.
Justine Bateman
chosen
Justine Bateman is an American actress, writer, and director best known for her role as Mallory Keaton on the 1980s sitcom "Family Ties."
-
B.
Francesca Nora Bateman
Francesca Nora Bateman is the daughter of American actor and filmmaker Jason Bateman and his wife Amanda Anka.
-
C.
Julie Etchingham
Julie Etchingham is a British television journalist and newsreader best known for her work with ITV News and for presenting major political and royal broadcasts.
-
D.
Tessa Browning
Tessa Browning is a daughter of the renowned British novelist Daphne du Maurier.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6f46f08190839ba07ef6fac984 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.