Triple

T24162558
Position Surface form Disambiguated ID Type / Status
Subject The Square E598879 entity
Predicate metacinematicElement P155555 FINISHED
Object critique of museum marketing 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: critique of museum marketing | Statement: [The Square, metacinematicElement, critique of museum marketing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metacinematicElement
Context triple: [The Square, metacinematicElement, critique of museum marketing]
  • A. cinematicContext
    Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
  • B. cinematicForm
    Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
  • C. hasCinematicFeature
    Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
  • D. cinematicSignificance
    Indicates the degree to which something holds notable importance, influence, or impact within the realm of cinema or film history.
  • E. dramaturgicalElement
    Indicates that something functions as a component or feature within a dramatic work or performance, such as a play, script, or theatrical production.
  • 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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27c9ddfcc819096697a844b300cce completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c42f942c8190b103ff29a60fef34 completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f27a753ca8819095706970d368f762 completed April 29, 2026, 9:39 p.m.
Created at: April 17, 2026, 11:32 p.m.