Triple

T17206250
Position Surface form Disambiguated ID Type / Status
Subject Z (film score) E417609 entity
Predicate associatedWithPoliticalTheme P47134 FINISHED
Object anti-fascism LITERAL 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: anti-fascism | Statement: [Z (film score), associatedWithPoliticalTheme, anti-fascism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalTheme
Context triple: [Z (film score), associatedWithPoliticalTheme, anti-fascism]
  • A. politicalTheme
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • B. associatedWithPoliticalAlignment
    Indicates a relationship where an entity is connected to, supports, or is characterized by a particular political ideology, party, or alignment.
  • C. associatedWithPoliticalModel
    Indicates that an entity is connected or linked to a particular political model, framework, or ideology in some relevant way.
  • D. hasPoliticalComponent
    Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
  • E. ideologicalTheme chosen
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
  • F. None of above.

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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc193488190a2c5a48ce7f631a9 completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.