Triple
T10152960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Lichtenstein |
E232694
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dorothy Herzka |
E232694
|
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: Dorothy Herzka | Statement: [Roy Lichtenstein, spouse, Dorothy Herzka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Herzka Context triple: [Roy Lichtenstein, spouse, Dorothy Herzka]
-
A.
Dorothy Herzka
chosen
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
-
B.
Dorothy Goetz
Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
-
C.
Ruth Wenger
Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
-
D.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
-
E.
Wanda Gershwitz
Wanda Gershwitz is the seductive, cunning con artist at the center of the comedy film "A Fish Called Wanda," known for manipulating everyone around her to get her hands on stolen diamonds.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec376cd48190990862c56c3a4dce |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb26d17c8190848b6b0d4df06fa2 |
completed | April 9, 2026, 7:16 p.m. |
Created at: March 30, 2026, 9:08 p.m.