Triple
T9578756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray (film) |
E231114
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Karen Baldwin
Karen Baldwin is a film producer best known for her work on the Oscar-winning biographical drama "Ray."
|
E879650
|
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: Karen Baldwin | Statement: [Ray (film), producer, Karen Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Baldwin Context triple: [Ray (film), producer, Karen Baldwin]
-
A.
Karen Baldwin
Karen Baldwin is a central character in the alternate-history space drama series "For All Mankind," known for her complex personal journey amid the political and emotional fallout of the space race.
-
B.
Karen West
Karen West is known as the wife of legendary NBA player and executive Jerry West.
-
C.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
D.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
-
E.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
- 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: Karen Baldwin Triple: [Ray (film), producer, Karen Baldwin]
Generated description
Karen Baldwin is a film producer best known for her work on the Oscar-winning biographical drama "Ray."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Baldwin Target entity description: Karen Baldwin is a film producer best known for her work on the Oscar-winning biographical drama "Ray."
-
A.
Karen Baldwin
Karen Baldwin is a central character in the alternate-history space drama series "For All Mankind," known for her complex personal journey amid the political and emotional fallout of the space race.
-
B.
Karen West
Karen West is known as the wife of legendary NBA player and executive Jerry West.
-
C.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
D.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
-
E.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98801deb8819092a45193078f09b4 |
completed | April 10, 2026, 11:30 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: March 30, 2026, 8:05 p.m.