Triple

T15648811
Position Surface form Disambiguated ID Type / Status
Subject Ashley Jade Stern E376250 entity
Predicate mother P120 FINISHED
Object Alison Berns E388770 NE 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: Alison Berns | Statement: [Ashley Jade Stern, mother, Alison Berns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Berns
Context triple: [Ashley Jade Stern, mother, Alison Berns]
  • A. Alison Berns chosen
    Alison Berns is an American former actress and media personality best known as the longtime wife of radio host Howard Stern, with whom she frequently appeared on his early shows.
  • B. Alison Marr
    Alison Marr is a mathematician known for her work in combinatorics and for her contributions to mathematics education and outreach.
  • C. Alison McCord
    Alison McCord is a fictional character on the political drama series "Madam Secretary," known as the intelligent and grounded daughter of Secretary of State Elizabeth McCord.
  • D. Alison Ayres
    Alison Ayres is an individual notable enough to be recognized as a bearer of the surname Ayres, though specific widely known public details about her are not clearly established.
  • E. Allison Burnett
    Allison Burnett is an American screenwriter and novelist known for his work on films such as "Autumn in New York" and for writing character-driven dramas and thrillers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997e13e4819080a39f59172ab99c completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:15 a.m.