Triple
T19637511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Max 2 |
E471437
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Brian Hannant |
—
|
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: Brian Hannant | Statement: [Mad Max 2, screenwriter, Brian Hannant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Hannant Context triple: [Mad Max 2, screenwriter, Brian Hannant]
-
A.
Brian Hannant
chosen
Brian Hannant is an Australian filmmaker and writer best known for his work on the Mad Max film series, including co-writing "Mad Max Beyond Thunderdome."
-
B.
David Seymour
David Seymour was a renowned Polish-born photojournalist and co-founder of the Magnum Photos agency, celebrated for his powerful documentary and war photography.
-
C.
Adam Boulton
Adam Boulton is a British political journalist and broadcaster best known for his long tenure as Sky News’ political editor and presenter.
-
D.
Andrew Cowie
Andrew Cowie is a researcher and co-author of a 2021 Nature paper by Jumper et al., likely contributing to advances in computational biology or protein structure prediction.
-
E.
Christopher Caldwell
Christopher Caldwell is an American journalist and author known for his commentary on politics, culture, and European affairs.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64107f3fc8190ace6ae67287d280c |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.