Triple
T9016560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blacklist |
E215606
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
|
E773155
|
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: Laura Sohn | Statement: [The Blacklist, starring, Laura Sohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Sohn Context triple: [The Blacklist, starring, Laura Sohn]
-
A.
Miri Yoon
Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
-
B.
Willa Kim
Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
-
C.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
D.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
- 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: Laura Sohn Triple: [The Blacklist, starring, Laura Sohn]
Generated description
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Sohn Target entity description: Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
A.
Miri Yoon
Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
-
B.
Willa Kim
Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
-
C.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
D.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fd2a888190a20bf18cd226a180 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba8bd8c81909860d561d9d16611 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdcae0e5c81909c50a0b53c1cf7cc |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd6a2ba481908d66fed8f05a1297 |
completed | April 3, 2026, 3:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.