Triple
T12327060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Futterman |
E293857
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anya Epstein |
E567904
|
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: Anya Epstein | Statement: [Dan Futterman, spouse, Anya Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anya Epstein Context triple: [Dan Futterman, spouse, Anya Epstein]
-
A.
Anya Epstein
chosen
Anya Epstein is an American television writer and producer known for her work on acclaimed drama series such as The Affair.
-
B.
Alexandra Papenfus
Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
-
C.
Alina Margolis
Alina Margolis was a Polish Jewish pediatrician, Holocaust survivor, and humanitarian activist known for her medical and social work, including with organizations aiding Jews during and after World War II.
-
D.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
-
E.
Alisa Lepselter
Alisa Lepselter is an American film editor best known for her long-time collaboration with director Woody Allen on numerous critically acclaimed films.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8ed1dc81908a0066d7cbfda086 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:53 p.m.