Triple
T2008789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kramer vs. Kramer |
E43644
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jane Alexander |
E129345
|
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: Jane Alexander | Statement: [Kramer vs. Kramer, castMember, Jane Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Alexander Context triple: [Kramer vs. Kramer, castMember, Jane Alexander]
-
A.
Jane Alexander
chosen
Jane Alexander is an acclaimed American actress and former chair of the National Endowment for the Arts, known for her extensive work in film, television, and theater.
-
B.
Frances Fisher
Frances Fisher is an English-born American actress known for her versatile character roles in film and television, including her portrayal of Ruth DeWitt Bukater in Titanic.
-
C.
Jessica Walter
Jessica Walter was an American actress best known for her sharp, comedic portrayal of Lucille Bluth on the television series "Arrested Development."
-
D.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
E.
Dianne Wiest
Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8933ba588190915b9ee9de433a14 |
completed | March 9, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:37 p.m.