Triple

T34103441
Position Surface form Disambiguated ID Type / Status
Subject A1A Car Wash E874635 entity
Predicate usedForPlotArc P191715 FINISHED
Object money laundering investigation tension with Hank Schrader 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: money laundering investigation tension with Hank Schrader | Statement: [A1A Car Wash, usedForPlotArc, money laundering investigation tension with Hank Schrader]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForPlotArc
Context triple: [A1A Car Wash, usedForPlotArc, money laundering investigation tension with Hank Schrader]
  • A. formsArcOf
    Indicates that one entity curves around or spans between points so as to create an arc in relation to another entity.
  • B. centralToArcOf
    Indicates that one entity lies at the geometric center or midpoint of an arc defined by another entity.
  • C. undergoesArc
    Indicates that an entity is subjected to or experiences a specific arc process, transformation, or phase.
  • D. commonPlotUse
    Indicates that a particular plot element, device, or storyline is frequently employed or reused across multiple works or narratives.
  • E. resolutionOfArc
    Indicates the degree of detail or fineness with which an arc is represented or approximated in a geometric or graphical context.
  • 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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
PDg Predicate description generation batch_69fce76669408190b1beef8899a8a5e2 completed May 7, 2026, 7:26 p.m.
Created at: May 1, 2026, 1:53 a.m.