Triple

T16457164
Position Surface form Disambiguated ID Type / Status
Subject John Doe (Se7en) E399711 entity
Predicate associatedWithSin P119423 FINISHED
Object envy 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: envy | Statement: [John Doe (Se7en), associatedWithSin, envy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithSin
Context triple: [John Doe (Se7en), associatedWithSin, envy]
  • A. shipAssociatedWith
    Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
  • B. associatedWithSee
    Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
  • C. associatedWithReport
    Indicates that an entity has a connection or linkage to a specific report, such as being referenced in, contributing to, or otherwise related to that report.
  • D. associatedWithGeneral chosen
    Indicates a non-specific or broad relationship or connection exists between entities without detailing its precise nature.
  • E. associatedWithStandard
    Indicates that something is linked or connected to a specific standard, such as being defined, governed, or guided by that standard.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7dfd188190b03e9b4151a4d3d8 completed April 18, 2026, 7:06 a.m.
PD Predicate disambiguation batch_69e227048d608190a4205eae3117629a completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:10 a.m.