Triple

T5527949
Position Surface form Disambiguated ID Type / Status
Subject The Green Rust (1920 film) E144970 entity
Predicate basedOn P98 FINISHED
Object The Green Rust E144970 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: The Green Rust | Statement: [The Green Rust (1920 film), basedOn, The Green Rust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Green Rust
Context triple: [The Green Rust (1920 film), basedOn, The Green Rust]
  • A. The Green Rust chosen
    The Green Rust is a 1919 crime thriller novel by Edgar Wallace involving a sinister plot to destroy the world’s wheat supply.
  • B. The Green One
    The Green One is an epithet of the ancient Egyptian cobra goddess Wadjet, who served as a protective deity and symbol of royal authority, especially associated with Lower Egypt and the pharaoh.
  • C. Het Brandende Veen
    Het Brandende Veen is a notable work by Dutch cartographer and writer Arent Roggeveen, reflecting his engagement with 17th-century geographical and scientific interests.
  • D. The Iron Monster
    "The Iron Monster" is an episode title from the 1939 science-fiction movie serial *The Phantom Creeps*, which starred Bela Lugosi as a mad scientist.
  • E. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f8b6c348190b7d414dc1907d09a completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027fe1c508190b95b7b5bda96a32d completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.