Triple

T33307836
Position Surface form Disambiguated ID Type / Status
Subject Monumental Pictures E852783 entity
Predicate HarlotsCountryOfOrigin P49307 FINISHED
Object United Kingdom NE NERFINISHED

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: United Kingdom | Statement: [Monumental Pictures, HarlotsCountryOfOrigin, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: HarlotsCountryOfOrigin
Context triple: [Monumental Pictures, HarlotsCountryOfOrigin, United Kingdom]
  • A. laterCountryOfOrigin
    Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
  • B. originCountryStyle
    Indicates that something is characterized by or created in the style or manner typical of a particular country of origin.
  • C. countryInThePast
    Indicates that an entity was recognized as a country during some period in the past, but is not necessarily a country in the present.
  • D. countryOfCult
    Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
  • E. historicalOriginCountry chosen
    Indicates the country from which something originally came or first emerged in a historical context.
  • 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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:33 a.m.