Triple

T4870519
Position Surface form Disambiguated ID Type / Status
Subject Turner Classic Movies E109074 entity
Predicate broadcastPolicy P60357 FINISHED
Object uncut 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: uncut films | Statement: [Turner Classic Movies, broadcastPolicy, uncut films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: broadcastPolicy
Context triple: [Turner Classic Movies, broadcastPolicy, uncut films]
  • A. broadcastType
    Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
  • B. broadcastFor
    Indicates that one entity transmits or disseminates content, information, or a signal on behalf of, or in service of, another entity.
  • C. broadcastVia
    Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
  • D. broadcastModel
    Indicates that one entity serves as the template or source whose structure or values are replicated and applied across another entity or set of entities.
  • E. broadcastRegion
    Indicates the geographic area or market in which content is transmitted or made available for broadcast.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c28e56081908ee411ac94c3769e completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6ff731188190a9903602122d4ff9 completed March 20, 2026, 4:04 p.m.
Created at: March 20, 2026, 1:27 p.m.