Triple

T2200814
Position Surface form Disambiguated ID Type / Status
Subject Silver Bear for Best Actress E50482 entity
Predicate festivalSectionScope P28049 FINISHED
Object international feature films 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: international feature films | Statement: [Silver Bear for Best Actress, festivalSectionScope, international feature films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: festivalSectionScope
Context triple: [Silver Bear for Best Actress, festivalSectionScope, international feature films]
  • A. festivalSeason
    Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
  • B. positionInFestival
    Indicates the specific role, slot, or placement an entity holds within the structure or schedule of a festival.
  • C. hasFestivalContext chosen
    Indicates that something is related to, occurs within, or is characterized by the setting, activities, or circumstances of a festival.
  • D. peerFestival
    Indicates that two festivals are considered peers, sharing a comparable status, scale, or role within a given context.
  • E. linkedFestival
    Indicates that two entities are associated through a common festival, event, or celebration.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa06bb4819092d7021358846e5f completed March 7, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69abbda706f4819094de73e1d1d1f539 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.