Triple
T16028126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Stern |
E388770
|
entity |
| Predicate | spouse |
P13
|
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: [Howard Stern, spouse, Alison Berns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Berns Context triple: [Howard Stern, spouse, 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_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_69ffeb867ae88190945af88247d4c80b |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.