Triple

T16028148
Position Surface form Disambiguated ID Type / Status
Subject Alison Berns E388770 entity
Predicate hasFamilyName P18 FINISHED
Object Berns
Berns is the surname of Alison Berns, an American former radio and television personality best known for her long-term marriage to broadcaster Howard Stern.
E1189261 NE FINISHED

How this triple was built (4 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: Berns | Statement: [Alison Berns, hasFamilyName, Berns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berns
Context triple: [Alison Berns, hasFamilyName, Berns]
  • A. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • B. Berkheim
    Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • C. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • D. Nordhoff
    Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
  • E. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Berns
Triple: [Alison Berns, hasFamilyName, Berns]
Generated description
Berns is the surname of Alison Berns, an American former radio and television personality best known for her long-term marriage to broadcaster Howard Stern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berns
Target entity description: Berns is the surname of Alison Berns, an American former radio and television personality best known for her long-term marriage to broadcaster Howard Stern.
  • A. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • B. Berkheim
    Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • C. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • D. Nordhoff
    Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
  • E. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • F. None of above. chosen

Provenance (5 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf33c6a881909284933ea3b7dd6e completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd01d545c8190a96cd888223c7fa9 completed May 10, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0b3d4b08190b1be30954d5d76c0 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:56 a.m.