Triple

T1513784
Position Surface form Disambiguated ID Type / Status
Subject Jeffry M. Picower E32072 entity
Predicate legalStatusInMadoffCase P2250 FINISHED
Object named as major beneficiary of Madoff Ponzi scheme 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: named as major beneficiary of Madoff Ponzi scheme | Statement: [Jeffry M. Picower, legalStatusInMadoffCase, named as major beneficiary of Madoff Ponzi scheme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInMadoffCase
Context triple: [Jeffry M. Picower, legalStatusInMadoffCase, named as major beneficiary of Madoff Ponzi scheme]
  • A. allegedStatus
    Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
  • B. statusInMaryland
    Indicates that an entity holds a particular legal, regulatory, or operational status specifically within the jurisdiction of Maryland.
  • C. legalStatusClarifiedBy
    Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
  • D. legalStatusOfVictims
    Indicates the legal classification or condition of the victims in relation to the event or action described.
  • E. hasLegalStatus chosen
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9396e16408190b5e7b0ac43376d81 completed March 5, 2026, 8:06 a.m.
PD Predicate disambiguation batch_69a907aa67cc81909f00135365447399 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.