Triple
T14397665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diner |
E356990
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ellen Barkin |
E146533
|
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: Ellen Barkin | Statement: [Diner, stars, Ellen Barkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Barkin Context triple: [Diner, stars, Ellen Barkin]
-
A.
Ellen Barkin
chosen
Ellen Barkin is an American actress known for her intense, edgy performances in film and television, including prominent roles in movies like "The Big Easy" and the TV series "Animal Kingdom."
-
B.
Amanda Plummer
Amanda Plummer is an American actress known for her intense, eccentric character roles in films such as "Pulp Fiction" and "The Fisher King," as well as her work on stage and television.
-
C.
Linda Purl
Linda Purl is an American actress and singer best known for her roles on television series such as "Happy Days," "Matlock," and "The Office."
-
D.
Rachel Messerer
Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
-
E.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa530fc81908aecc4439eea4c01 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:17 a.m.