Triple

T5143236
Position Surface form Disambiguated ID Type / Status
Subject The Halcyon Company E116008 entity
Predicate operationalField P7505 FINISHED
Object motion picture industry 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: motion picture industry | Statement: [The Halcyon Company, operationalField, motion picture industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalField
Context triple: [The Halcyon Company, operationalField, motion picture industry]
  • A. fieldOfOperation chosen
    Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
  • B. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • C. operationalForm
    Indicates that one entity is the specific operational or executable form of another, more abstract entity.
  • D. fieldAdvanced
    Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
  • E. operationalLayer
    Indicates that one entity functions as an operational layer or level through which another entity’s activities, processes, or services are executed or managed.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69bd77ae2f10819098bb8939106e1281 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:43 p.m.