Triple

T28892901
Position Surface form Disambiguated ID Type / Status
Subject Adam Carter E732751 entity
Predicate riskLevelInNarrative P3842 FINISHED
Object high 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: high | Statement: [Adam Carter, riskLevelInNarrative, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskLevelInNarrative
Context triple: [Adam Carter, riskLevelInNarrative, high]
  • A. riskLevel chosen
    Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
  • B. riskProfileClaim
    Indicates that a claim is being made about the level or characteristics of risk associated with an entity or situation.
  • C. riskDescription
    Indicates a textual explanation of the nature, causes, and potential impact of a specific risk.
  • D. riskHighlighted
    Indicates that a particular risk has been identified and specially marked for attention or emphasis.
  • E. riskDepicted
    Indicates that a representation (such as an image, text, or symbol) portrays, illustrates, or conveys the presence or possibility of a particular risk.
  • 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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa137ec8190b0ccb5ab15981e5a completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:56 a.m.