Triple
T317491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lorre |
E7738
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Karen Verne
Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
|
E52446
|
NE FINISHED |
How this triple was built (4 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: Karen Verne | Statement: [Peter Lorre, spouse, Karen Verne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Verne Context triple: [Peter Lorre, spouse, Karen Verne]
-
A.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
B.
Liz Imbrie
Liz Imbrie is a witty, sardonic magazine reporter who serves as a key supporting character and romantic foil in the musical film "High Society."
-
C.
Julie Packard
Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
-
D.
Glennis Dickhouse Yeager
Glennis Dickhouse Yeager was the wife of famed test pilot Chuck Yeager and the namesake of the Bell X-1 aircraft "Glamorous Glennis."
-
E.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karen Verne Triple: [Peter Lorre, spouse, Karen Verne]
Generated description
Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Verne Target entity description: Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
-
A.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
B.
Liz Imbrie
Liz Imbrie is a witty, sardonic magazine reporter who serves as a key supporting character and romantic foil in the musical film "High Society."
-
C.
Julie Packard
Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
-
D.
Glennis Dickhouse Yeager
Glennis Dickhouse Yeager was the wife of famed test pilot Chuck Yeager and the namesake of the Bell X-1 aircraft "Glamorous Glennis."
-
E.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
- F. None of above. chosen
Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41b4344f081909306258971f45687 |
completed | March 1, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_69a41d47489481908df06a05878f1d5c |
completed | March 1, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a422dcf12c81908277fe99e029fa8d |
completed | March 1, 2026, 11:28 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.