Triple
T9968919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nux |
E195753
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Immortan Joe |
E195752
|
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: Immortan Joe | Statement: [Nux, affiliation, Immortan Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Immortan Joe Context triple: [Nux, affiliation, Immortan Joe]
-
A.
Immortan Joe
chosen
Immortan Joe is the tyrannical warlord and main antagonist of the post-apocalyptic film "Mad Max: Fury Road," known for hoarding water and ruling his followers through fear and control.
-
B.
Mad Max
Mad Max is a 1979 Australian dystopian action film that launched a popular franchise and helped establish Mel Gibson as an international star.
-
C.
Mad Max Beyond Thunderdome
Mad Max Beyond Thunderdome is a 1985 post-apocalyptic action film in the Mad Max franchise, starring Mel Gibson as Max Rockatansky and featuring the iconic Thunderdome gladiatorial arena.
-
D.
Terminus
Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
-
E.
Terminus
"Terminus" is a poem by Seamus Heaney, featured in his collection *The Haw Lantern*, that reflects on themes of borders, identity, and historical division.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dc117f48190ad66dd62f9833a10 |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.