Triple

T9969035
Position Surface form Disambiguated ID Type / Status
Subject Mad Max Beyond Thunderdome E195755 entity
Predicate character P662 FINISHED
Object Max Rockatansky E195751 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: Max Rockatansky | Statement: [Mad Max Beyond Thunderdome, character, Max Rockatansky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Rockatansky
Context triple: [Mad Max Beyond Thunderdome, character, Max Rockatansky]
  • A. Max Rockatansky chosen
    Max Rockatansky is the stoic, battle-hardened drifter and former cop who serves as the central antihero of the post-apocalyptic Mad Max film series.
  • B. Barrett Doss
    Barrett Doss is an American actress and singer best known for her starring role as firefighter Victoria Hughes on the television drama series "Station 19."
  • C. Doug Drummond
    Doug Drummond is a Canadian municipal politician who served as mayor of the city of Burnaby, British Columbia.
  • D. Ned Rawlins
    Ned Rawlins is a character in Robert Silverberg’s science fiction novel "The Man in the Maze," involved in the story’s exploration of alien contact and human isolation.
  • E. John Marston
    John Marston was an English Renaissance dramatist and satirist best known for his darkly comic plays and involvement in the theatrical rivalries of the late Elizabethan and early Jacobean periods.
  • 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_69d269fc0d20819082bfe0331972e2b6 completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:47 p.m.