Triple

T9666698
Position Surface form Disambiguated ID Type / Status
Subject Kidder, Peabody & Co. E233722 entity
Predicate hadMajorScandal P29490 FINISHED
Object trading scandal in early 1990s — 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: trading scandal in early 1990s | Statement: [Kidder, Peabody & Co., hadMajorScandal, trading scandal in early 1990s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadMajorScandal
Context triple: [Kidder, Peabody & Co., hadMajorScandal, trading scandal in early 1990s]
  • A. associatedScandal chosen
    Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
  • B. timeOfMajorScandal
    Indicates the specific time period during which a major scandal involving the entity occurred.
  • C. hasAffairWith
    Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
  • D. incumbentBlamedFor
    Indicates that responsibility or fault for a situation, problem, or outcome is attributed to the current officeholder or authority in power.
  • E. impeached
    Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3a63948190be3f48f87bdbccf1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.