Triple
T10614073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minns ministry |
E276074
|
entity |
| Predicate | hasCabinetMember |
P7820
|
FINISHED |
| Object |
Ryan Park
Ryan Park is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
|
E873940
|
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: Ryan Park | Statement: [Minns ministry, hasCabinetMember, Ryan Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Park Context triple: [Minns ministry, hasCabinetMember, Ryan Park]
-
A.
Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
-
B.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
C.
Nakyung Park
Nakyung Park is a South Korean painter and artist best known publicly as the wife of American actor Wesley Snipes.
-
D.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
E.
Alice Kim
Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
- 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: Ryan Park Triple: [Minns ministry, hasCabinetMember, Ryan Park]
Generated description
Ryan Park is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Park Target entity description: Ryan Park is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
-
A.
Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
-
B.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
-
C.
Nakyung Park
Nakyung Park is a South Korean painter and artist best known publicly as the wife of American actor Wesley Snipes.
-
D.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
E.
Alice Kim
Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecd44b08190bccbedd63544ba17 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95fc0430c8190b968a651d854d041 |
completed | April 10, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9610843048190913190bf546d3df1 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:33 p.m.