Triple

T33771364
Position Surface form Disambiguated ID Type / Status
Subject Kingsman: The Blue Blood E865389 entity
Predicate hasMPAExpectation P177675 FINISHED
Object R-rated (expected) 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: R-rated (expected) | Statement: [Kingsman: The Blue Blood, hasMPAExpectation, R-rated (expected)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMPAExpectation
Context triple: [Kingsman: The Blue Blood, hasMPAExpectation, R-rated (expected)]
  • A. requiresGraduation
    Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
  • B. hasRankUponGraduation
    Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
  • C. hasMBAFormat
    Indicates that one entity follows, uses, or conforms to the MBA (Master of Business Administration) format specified by another entity.
  • D. haveDegree
    Indicates that an entity possesses or has obtained a specific academic or professional degree.
  • E. mayBeConferredAs
    Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
  • 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_69f3498df6f88190bf9647ea4e4a956e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:45 a.m.