Triple
T13517284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Hicks |
E322795
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kerry Heysen |
E1020974
|
NE FINISHED |
How this triple was built (2 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: Kerry Heysen | Statement: [Scott Hicks, spouse, Kerry Heysen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerry Heysen Context triple: [Scott Hicks, spouse, Kerry Heysen]
-
A.
Kerry Heysen
chosen
Kerry Heysen is a film and television producer known for her work on projects such as the drama film "No Reservations."
-
B.
Murray Bail
Murray Bail is an acclaimed Australian novelist and short story writer known for his inventive narratives and contributions to contemporary Australian literature.
-
C.
Paul Hasluck
Paul Hasluck was an Australian politician, historian, and diplomat who served as the 17th Governor-General of Australia from 1969 to 1974.
-
D.
John Stothart
John Stothart is a film editor known for his work on the romantic drama "Truly, Madly, Deeply."
-
E.
Les Murray
Les Murray was a renowned Australian poet and literary critic celebrated for his vivid depictions of rural life and exploration of national identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75496496c819093a9e763d293bcf7 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.