Triple
T10781616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasurer of Western Australia |
E254330
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
Frank Wise
Frank Wise was an Australian politician who served as Premier of Western Australia in the 1940s and later held senior roles in public administration.
|
E886425
|
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: Frank Wise | Statement: [Treasurer of Western Australia, officeHoldersInclude, Frank Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Wise Context triple: [Treasurer of Western Australia, officeHoldersInclude, Frank Wise]
-
A.
Raymond Wise
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
-
B.
Jerry Wisdom
Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
-
C.
Jack Wisdom
Jack Wisdom is an American planetary scientist and MIT professor known for his work on celestial mechanics and dynamical chaos in the solar system.
-
D.
Herbert Wise
Herbert Wise was a British television and film director best known for his acclaimed work on period dramas and literary adaptations.
-
E.
William Wise
William Wise is an actor known for his role in the acclaimed drama film "In the Bedroom."
- 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: Frank Wise Triple: [Treasurer of Western Australia, officeHoldersInclude, Frank Wise]
Generated description
Frank Wise was an Australian politician who served as Premier of Western Australia in the 1940s and later held senior roles in public administration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Wise Target entity description: Frank Wise was an Australian politician who served as Premier of Western Australia in the 1940s and later held senior roles in public administration.
-
A.
Raymond Wise
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
-
B.
Jerry Wisdom
Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
-
C.
Jack Wisdom
Jack Wisdom is an American planetary scientist and MIT professor known for his work on celestial mechanics and dynamical chaos in the solar system.
-
D.
Herbert Wise
Herbert Wise was a British television and film director best known for his acclaimed work on period dramas and literary adaptations.
-
E.
William Wise
William Wise is an actor known for his role in the acclaimed drama film "In the Bedroom."
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c48c488190a2b3162202b74726 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69de5eacae148190b7ca2da87427572e |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de6397ff688190b6788489895a5360 |
completed | April 14, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:17 p.m.