Triple

T14711901
Position Surface form Disambiguated ID Type / Status
Subject Charming E345565 entity
Predicate lawEnforcementInStory P115466 FINISHED
Object often compromised by SAMCRO 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: often compromised by SAMCRO | Statement: [Charming, lawEnforcementInStory, often compromised by SAMCRO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawEnforcementInStory
Context triple: [Charming, lawEnforcementInStory, often compromised by SAMCRO]
  • A. lawEnforcementLabel
    Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
  • B. lawEnforcementFunction
    Indicates that an entity performs, is responsible for, or is associated with official law enforcement duties or activities.
  • C. lawEnforcementResponse
    Indicates the actions or measures taken by law enforcement agencies in reaction to an incident, behavior, or situation.
  • D. lawEnforcementLead
    Indicates that one entity serves as the primary person or organization in charge of directing or overseeing law enforcement activities related to another entity or situation.
  • E. typeOfLawEnforcement
    Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69de657c57ec8190ae0b9bb79a514566 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716d3aac8190aaa6dc1f099b86e8 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:28 a.m.