Triple
T15469818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.P. Bio |
E372128
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Mary Sohn
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
|
E1158708
|
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: Mary Sohn | Statement: [A.P. Bio, starredActor, Mary Sohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Sohn Context triple: [A.P. Bio, starredActor, Mary Sohn]
-
A.
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
B.
Myung-wha Chung
Myung-wha Chung is a renowned South Korean cellist recognized for her international concert career and collaborations with major orchestras and chamber ensembles.
-
C.
Kinam Kim
Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
-
D.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
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: Mary Sohn Triple: [A.P. Bio, starredActor, Mary Sohn]
Generated description
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Sohn Target entity description: Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
-
A.
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
B.
Myung-wha Chung
Myung-wha Chung is a renowned South Korean cellist recognized for her international concert career and collaborations with major orchestras and chamber ensembles.
-
C.
Kinam Kim
Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
-
D.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d03845c8190bc8cb96827a5da39 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e2fb3e48190b2274d54586b1f00 |
completed | May 9, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2ec231dc8190b82333e3e54ced20 |
completed | May 9, 2026, 12:55 p.m. |
Created at: April 10, 2026, 3:33 a.m.