Triple
T20154815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Max |
E491529
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Tony Paterson |
—
|
NE NERFINISHED |
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: Tony Paterson | Statement: [Mad Max, editor, Tony Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Paterson Context triple: [Mad Max, editor, Tony Paterson]
-
A.
Tony Paterson
chosen
Tony Paterson is a film editor best known for his work on the influential Australian action film "Mad Max."
-
B.
Alastair Kennett
Alastair Kennett is one of the children of former Victorian Premier and prominent Australian businessman Jeff Kennett.
-
C.
David Agnew
David Agnew is a pseudonymous writer credit used by the BBC, notably on the Doctor Who serial "City of Death," to represent work by multiple or uncredited contributors.
-
D.
Roy Urquhart
Roy Urquhart was a British Army major-general best known for leading the 1st Airborne Division during World War II, particularly in the failed Operation Market Garden at Arnhem in 1944.
-
E.
Sir John Lyons
Sir John Lyons was a prominent British linguist renowned for his influential work in semantics and the philosophy of language.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.