Triple
T4623123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninotchka |
E101032
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ina Claire
Ina Claire was an American stage and film actress best known for her sophisticated comedic roles in early 20th-century theater and cinema.
|
E463814
|
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: Ina Claire | Statement: [Ninotchka, starring, Ina Claire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ina Claire Context triple: [Ninotchka, starring, Ina Claire]
-
A.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
B.
Anna Culp
Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
-
C.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
-
D.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
E.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
- 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: Ina Claire Triple: [Ninotchka, starring, Ina Claire]
Generated description
Ina Claire was an American stage and film actress best known for her sophisticated comedic roles in early 20th-century theater and cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ina Claire Target entity description: Ina Claire was an American stage and film actress best known for her sophisticated comedic roles in early 20th-century theater and cinema.
-
A.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
-
B.
Anna Culp
Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
-
C.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
-
D.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
E.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a053d38819097b3ecbc06aa6e4d |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be102eb0048190bebc8a92a5338b83 |
completed | March 21, 2026, 3:27 a.m. |
| NEDg | Description generation | batch_69be138d09888190845d4860b3880f1b |
completed | March 21, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be13e813e08190842ad5c2ad8e47cc |
completed | March 21, 2026, 3:43 a.m. |
Created at: March 20, 2026, 1:12 p.m.