Triple

T24726908
Position Surface form Disambiguated ID Type / Status
Subject Stormy Daniels–Donald Trump scandal E618178 entity
Predicate aliasUsedForStormyDaniels P3799 FINISHED
Object Peggy Peterson
Peggy Peterson is the pseudonym used for adult film actress Stormy Daniels in legal documents related to her alleged affair and hush-money agreement involving Donald Trump.
E1647713 NE FINISHED

How this triple was built (3 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: Peggy Peterson | Statement: [Stormy Daniels–Donald Trump scandal, aliasUsedForStormyDaniels, Peggy Peterson]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peggy Peterson
Triple: [Stormy Daniels–Donald Trump scandal, aliasUsedForStormyDaniels, Peggy Peterson]
Generated description
Peggy Peterson is the pseudonym used for adult film actress Stormy Daniels in legal documents related to her alleged affair and hush-money agreement involving Donald Trump.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aliasUsedForStormyDaniels
Context triple: [Stormy Daniels–Donald Trump scandal, aliasUsedForStormyDaniels, Peggy Peterson]
  • A. allegedUse
    Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
  • B. sonAlias
    Indicates that one entity is an alternative or secondary name (alias) specifically used for a son in relation to another entity.
  • C. usedPseudonym chosen
    Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
  • D. nameUsedToAvoid
    Indicates that one entity uses a particular name or designation in order to avoid another entity or an unwanted situation involving that entity.
  • E. associatedScandal
    Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
  • F. None of above.

Provenance (6 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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10101c96fc8190a55c5ce348455541 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136e15dc81908478704742d7c95e completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10145c05c88190a29367197865506c completed May 22, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 3:59 a.m.