Triple
T23477712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judd Hirsch |
E570311
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elissa Hirsch |
—
|
NE NERFINISHED |
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: Elissa Hirsch | Statement: [Judd Hirsch, spouse, Elissa Hirsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elissa Hirsch Context triple: [Judd Hirsch, spouse, Elissa Hirsch]
-
A.
Elissa Hirsch
chosen
Elissa Hirsch is known as the former wife of American actor Judd Hirsch.
-
B.
Ellen Mirojnick
Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
-
C.
Laura Shusterman
Laura Shusterman is the wife of former Donald Trump attorney Michael Cohen and a Ukrainian-born businesswoman who has been linked to some of his real estate and taxi-medallion ventures.
-
D.
David Lebovitz
David Lebovitz is an American pastry chef, cookbook author, and food blogger best known for his dessert and ice cream recipes and his writings about life and food in Paris.
-
E.
Danielle Hirsch
Danielle Hirsch is known as the wife of American actor William Katt, recognized for his role in the television series "The Greatest American Hero."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:02 p.m.