Triple
T10781610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasurer of Western Australia |
E254330
|
entity |
| Predicate | officeHoldersInclude |
P537
|
FINISHED |
| Object |
David Parker
David Parker is an Australian politician who notably served as Treasurer of Western Australia.
|
E887207
|
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: David Parker | Statement: [Treasurer of Western Australia, officeHoldersInclude, David Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Parker Context triple: [Treasurer of Western Australia, officeHoldersInclude, David Parker]
-
A.
David Parker
David Parker is one of the children of acclaimed American crime novelist Robert B. Parker.
-
B.
David Parker
David Parker is an actor known for his role in the 2001 biographical television film "James Dean."
-
C.
Daniel Parker
Daniel Parker is the son of acclaimed American crime novelist Robert B. Parker.
-
D.
Chan Parker
Chan Parker was the longtime partner and later wife of jazz saxophonist Charlie Parker, known for her close association with the bebop scene and for preserving Parker’s legacy.
-
E.
Steve Parker
Steve Parker was an American film producer and manager best known for his long marriage to actress Shirley MacLaine and his work on international film projects.
- 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: David Parker Triple: [Treasurer of Western Australia, officeHoldersInclude, David Parker]
Generated description
David Parker is an Australian politician who notably served as Treasurer of Western Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Parker Target entity description: David Parker is an Australian politician who notably served as Treasurer of Western Australia.
-
A.
David Parker
David Parker is one of the children of acclaimed American crime novelist Robert B. Parker.
-
B.
David Parker
David Parker is an actor known for his role in the 2001 biographical television film "James Dean."
-
C.
Daniel Parker
Daniel Parker is the son of acclaimed American crime novelist Robert B. Parker.
-
D.
Chan Parker
Chan Parker was the longtime partner and later wife of jazz saxophonist Charlie Parker, known for her close association with the bebop scene and for preserving Parker’s legacy.
-
E.
Steve Parker
Steve Parker was an American film producer and manager best known for his long marriage to actress Shirley MacLaine and his work on international film projects.
- 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_69de84c925088190922b9979cf77d01b |
completed | April 14, 2026, 6:17 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:17 p.m.