Triple

T2308369
Position Surface form Disambiguated ID Type / Status
Subject High Noon E51892 entity
Predicate politicalAllegoryFor P39108 FINISHED
Object Hollywood blacklist 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: Hollywood blacklist | Statement: [High Noon, politicalAllegoryFor, Hollywood blacklist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalAllegoryFor
Context triple: [High Noon, politicalAllegoryFor, Hollywood blacklist]
  • A. hasAllegoricalFigures
    Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
  • B. politicalSideDepicted
    Indicates that one entity portrays, represents, or visually depicts the political alignment, ideology, or side associated with another entity.
  • C. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • D. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • E. politicalRationale
    Indicates the reasoning, justification, or strategic considerations underlying a political decision, stance, or action.
  • F. None of above. chosen

Provenance (4 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abce1f4f0c8190a714e4dcb8449f7e completed March 7, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69abc58ce2a081908ce2f0cadd92e9f8 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abce1e7c788190a15890feb2437f1d completed March 7, 2026, 7:05 a.m.
Created at: March 4, 2026, 7:49 p.m.