Triple

T17903778
Position Surface form Disambiguated ID Type / Status
Subject Bella Ramsey E447647 entity
Predicate film P9968 FINISHED
Object Resistance 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: Resistance | Statement: [Bella Ramsey, film, Resistance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resistance
Context triple: [Bella Ramsey, film, Resistance]
  • A. Resistance
    The Resistance is the heroic rebel organization in the Star Wars universe that opposes the tyrannical First Order and continues the legacy of the Rebel Alliance.
  • B. Resistance
    Resistance is a science fiction first-person shooter video game series known for its alternate-history setting in which humanity battles a monstrous alien race.
  • C. Resistance
    "Resistance" is a roots reggae album by Jamaican musician Burning Spear, reflecting his signature spiritually charged and politically conscious style.
  • D. Resistance
    "Resistance" is a science fiction novel by Indian author Samit Basu, known for its imaginative world-building and genre-blending storytelling.
  • E. Resistance chosen
    "Resistance" is a World War II drama film written and directed by Todd Komarnicki, depicting the struggles of villagers and downed Allied airmen in Nazi-occupied Europe.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.