Triple
T15752103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Packer |
E381870
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Roslyn Packer |
E1175789
|
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: Roslyn Packer | Statement: [James Packer, hasRelative, Roslyn Packer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roslyn Packer Context triple: [James Packer, hasRelative, Roslyn Packer]
-
A.
Roslyn Packer
chosen
Roslyn Packer is an Australian philanthropist and arts patron, known for her significant support of cultural and charitable institutions.
-
B.
Bertha Monash
Bertha Monash was the daughter of prominent Australian military commander and engineer Sir John Monash.
-
C.
Enid Lyons
Enid Lyons was an Australian politician and the first woman elected to the House of Representatives and to serve in federal Cabinet.
-
D.
Glendon Palmer
Glendon Palmer is a film and television producer known for his work on independent and studio-backed projects in contemporary American cinema.
-
E.
Marcia Langton
Marcia Langton is a prominent Australian Indigenous academic, activist, and anthropologist known for her influential work on Aboriginal rights, policy, and constitutional recognition.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.