Triple
T1108004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Woods (2014 film) |
E25529
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Christine Baranski
Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
|
E151012
|
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: Christine Baranski | Statement: [Into the Woods (2014 film), stars, Christine Baranski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Baranski Context triple: [Into the Woods (2014 film), stars, Christine Baranski]
-
A.
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.
-
B.
Laura Linney
Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
-
C.
Hope Davis
Hope Davis is an American actress known for her nuanced performances in both independent films and mainstream movies, as well as acclaimed roles on television.
-
D.
Susan Forristal
Susan Forristal is an American writer and former actress known for her work in film and television and for her past marriage to "Saturday Night Live" creator Lorne Michaels.
-
E.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
- 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: Christine Baranski Triple: [Into the Woods (2014 film), stars, Christine Baranski]
Generated description
Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Baranski Target entity description: Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
-
A.
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.
-
B.
Laura Linney
Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
-
C.
Hope Davis
Hope Davis is an American actress known for her nuanced performances in both independent films and mainstream movies, as well as acclaimed roles on television.
-
D.
Susan Forristal
Susan Forristal is an American writer and former actress known for her work in film and television and for her past marriage to "Saturday Night Live" creator Lorne Michaels.
-
E.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf10d9488190b199a70335430a90 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf77a3748190a510ea10d8ae4373 |
completed | March 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbfe5eae88190ba65808402ada37f |
completed | March 8, 2026, 12:16 a.m. |
Created at: March 1, 2026, 7:43 p.m.