Triple
T10614072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minns ministry |
E276074
|
entity |
| Predicate | hasCabinetMember |
P7820
|
FINISHED |
| Object |
Jo Haylen
Jo Haylen is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
|
E873939
|
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: Jo Haylen | Statement: [Minns ministry, hasCabinetMember, Jo Haylen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Haylen Context triple: [Minns ministry, hasCabinetMember, Jo Haylen]
-
A.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
B.
Lee Haxall
Lee Haxall is a film editor known for her work on major Hollywood comedies and dramas, including the romantic comedy "Crazy, Stupid, Love."
-
C.
Fran Healy
Fran Healy is a Scottish singer-songwriter best known as the lead vocalist and primary songwriter of the rock band Travis.
-
D.
Hayley Smith
Hayley Smith is a politically liberal, rebellious college-aged character from the animated TV series "American Dad!", known as the daughter of Stan and Francine Smith.
-
E.
Jody Egginton
Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
- 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: Jo Haylen Triple: [Minns ministry, hasCabinetMember, Jo Haylen]
Generated description
Jo Haylen 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: Jo Haylen Target entity description: Jo Haylen is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
-
A.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
B.
Lee Haxall
Lee Haxall is a film editor known for her work on major Hollywood comedies and dramas, including the romantic comedy "Crazy, Stupid, Love."
-
C.
Fran Healy
Fran Healy is a Scottish singer-songwriter best known as the lead vocalist and primary songwriter of the rock band Travis.
-
D.
Hayley Smith
Hayley Smith is a politically liberal, rebellious college-aged character from the animated TV series "American Dad!", known as the daughter of Stan and Francine Smith.
-
E.
Jody Egginton
Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
- 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.