Triple
T13109283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mick |
E310928
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Susan Park
Susan Park is an American actress known for her television roles in series such as "The Mick," "Fargo," and "Fresh Off the Boat."
|
E1021783
|
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: Susan Park | Statement: [The Mick, starring, Susan Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Park Context triple: [The Mick, starring, Susan Park]
-
A.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
B.
Grace Park
Grace Park is a Canadian-American actress best known for her prominent roles in science fiction and crime drama television series, including Battlestar Galactica and Hawaii Five-0.
-
C.
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
D.
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.
-
E.
Linda Park
Linda Park is a Korean-American actress best known for playing communications officer Hoshi Sato on the television series Star Trek: Enterprise.
- 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: Susan Park Triple: [The Mick, starring, Susan Park]
Generated description
Susan Park is an American actress known for her television roles in series such as "The Mick," "Fargo," and "Fresh Off the Boat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Park Target entity description: Susan Park is an American actress known for her television roles in series such as "The Mick," "Fargo," and "Fresh Off the Boat."
-
A.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
B.
Grace Park
Grace Park is a Canadian-American actress best known for her prominent roles in science fiction and crime drama television series, including Battlestar Galactica and Hawaii Five-0.
-
C.
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
D.
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.
-
E.
Linda Park
Linda Park is a Korean-American actress best known for playing communications officer Hoshi Sato on the television series Star Trek: Enterprise.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e37023d48190ba6a0b790ed23370 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.