Triple
T13861639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drover’s Wife: The Legend of Molly Johnson |
E333209
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sam Reid |
E66586
|
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: Sam Reid | Statement: [The Drover’s Wife: The Legend of Molly Johnson, castMember, Sam Reid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Reid Context triple: [The Drover’s Wife: The Legend of Molly Johnson, castMember, Sam Reid]
-
A.
Sam Reid
chosen
Sam Reid is an Australian actor known for his work in film and television, including roles in period dramas and literary adaptations.
-
B.
Jason Shuman
Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
-
C.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
D.
Greg Sanders
Greg Sanders is a quirky, music-loving forensic scientist who evolves from a DNA lab technician to a field investigator on the TV series CSI: Crime Scene Investigation.
-
E.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1bbee14819082e1a381a5950e07 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:14 p.m.