Triple

T15885434
Position Surface form Disambiguated ID Type / Status
Subject Monty Brogan E385180 entity
Predicate facesImprisonmentFor P3353 FINISHED
Object drug dealing 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: drug dealing | Statement: [Monty Brogan, facesImprisonmentFor, drug dealing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facesImprisonmentFor
Context triple: [Monty Brogan, facesImprisonmentFor, drug dealing]
  • A. usedForImprisoning
    Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
  • B. imprisonedWith
    Indicates that two entities are confined or held in prison together at the same time and place.
  • C. imprisonedFor chosen
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • D. imprisonmentContext
    Indicates that one entity is held in confinement or custody by another entity or authority within a specific legal, temporal, or situational context.
  • E. sometimesImprisons
    Indicates that one entity occasionally confines or incarcerates another entity, but not on a regular or constant basis.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142c3e18c8190bb7b023f4a0eaebb completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:51 a.m.