Triple

T18994379
Position Surface form Disambiguated ID Type / Status
Subject Mark Robarts to endorse bills E464768 entity
Predicate jeopardizes P16824 FINISHED
Object Mark Robarts's financial security 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: Mark Robarts's financial security | Statement: [Mark Robarts to endorse bills, jeopardizes, Mark Robarts's financial security]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: jeopardizes
Context triple: [Mark Robarts to endorse bills, jeopardizes, Mark Robarts's financial security]
  • A. endangerment chosen
    Indicates a relationship in which one entity exposes another to potential harm, risk, or danger.
  • B. inhibits
    Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
  • C. inDangerSince
    Indicates that an entity has been in a state of danger continuously starting from a specified point in time.
  • D. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • E. threatensDeceptionOf
    Indicates that one entity poses or communicates a risk of deceiving or misleading another entity.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d680dd2881908a72e732c6b25477 completed April 20, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69e4a2f88e0c81908cb20f08bf24cd32 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:01 p.m.