Triple
T12385934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Uris |
E295863
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Patricia Blum |
E742812
|
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: Patricia Blum | Statement: [Stanley Uris, spouse, Patricia Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Blum Context triple: [Stanley Uris, spouse, Patricia Blum]
-
A.
Patricia Blum
chosen
Patricia Blum is a character in Stephen King's horror novel "It," known as the wife of Stan Uris.
-
B.
Patricia Silberman
Patricia Silberman is known as the wife of the late Laurence Silberman, a prominent U.S. federal judge and influential conservative legal figure.
-
C.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
D.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
E.
Sylvia Rosen
Sylvia Rosen is a neighbor and love interest of Don Draper in the television series "Mad Men," known for their clandestine affair and its impact on his personal life.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746055aac81909626eaa891199019 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 8, 2026, 9:54 p.m.