Triple

T5650506
Position Surface form Disambiguated ID Type / Status
Subject Christopher Blake E124494 entity
Predicate hasDramaticStyle P65429 FINISHED
Object realism 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: realism | Statement: [Christopher Blake, hasDramaticStyle, realism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDramaticStyle
Context triple: [Christopher Blake, hasDramaticStyle, realism]
  • A. hasDramaticTone
    Indicates that something (such as a work, scene, or expression) is characterized by a heightened, intense, or emotionally charged tone.
  • B. hasDramaticElements
    Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
  • C. hasDramaticProduction
    Indicates that an entity is associated with or features a specific dramatic production (such as a play, performance, or staged work).
  • D. dramaticCharacter
    Indicates that one entity is a character or role that appears within the dramatic work, performance, or narrative represented by the other entity.
  • E. dramaticFunction
    Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d4ca788190b20168b20cb1d030 completed March 22, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0727bc8190b16e9a669c04b4dd completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:42 p.m.