Triple

T26870595
Position Surface form Disambiguated ID Type / Status
Subject Ascot Partners E676599 entity
Predicate hadRiskConcentration P136373 FINISHED
Object substantial exposure to a single manager, Bernard Madoff 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: substantial exposure to a single manager, Bernard Madoff | Statement: [Ascot Partners, hadRiskConcentration, substantial exposure to a single manager, Bernard Madoff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadRiskConcentration
Context triple: [Ascot Partners, hadRiskConcentration, substantial exposure to a single manager, Bernard Madoff]
  • A. hasRiskFrom chosen
    Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
  • B. focusesOnRisk
    Indicates that the subject directs attention, resources, or analysis primarily toward identifying, assessing, or managing risk.
  • C. hazardConcentratedAt
    Indicates that a hazardous substance or condition is present with elevated intensity or density at a specific location or point.
  • D. hasRiskStatus
    Indicates the level or category of risk currently associated with an entity.
  • E. historicallyConcentratedIn
    Indicates that something has been predominantly or densely present, active, or occurring within a particular place or group during past periods.
  • 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61e9b57bc8190a262eb0203f9dd3f completed May 2, 2026, 3:56 p.m.
PD Predicate disambiguation batch_69f611ad2eb48190ac1ed0090f13f7a9 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 5:32 a.m.