Triple
T10286994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Strasberg |
E241253
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nora Krecaun
Nora Krecaun was the first wife of influential acting teacher and director Lee Strasberg.
|
E852166
|
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: Nora Krecaun | Statement: [Lee Strasberg, spouse, Nora Krecaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Krecaun Context triple: [Lee Strasberg, spouse, Nora Krecaun]
-
A.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
-
B.
Paula Pokrifki
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
-
C.
Sonja Severdija
Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
-
D.
Renata Kallosh
Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
-
E.
Olga Prekrasa
Olga Prekrasa, better known as Olga of Kiev, was a 10th-century regent of Kievan Rus' renowned for her dramatic vengeance against the Drevlians and later venerated as a saint for her early adoption and promotion of Christianity in the region.
- 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: Nora Krecaun Triple: [Lee Strasberg, spouse, Nora Krecaun]
Generated description
Nora Krecaun was the first wife of influential acting teacher and director Lee Strasberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Krecaun Target entity description: Nora Krecaun was the first wife of influential acting teacher and director Lee Strasberg.
-
A.
Nena Danevic
Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
-
B.
Paula Pokrifki
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
-
C.
Sonja Severdija
Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
-
D.
Renata Kallosh
Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
-
E.
Olga Prekrasa
Olga Prekrasa, better known as Olga of Kiev, was a 10th-century regent of Kievan Rus' renowned for her dramatic vengeance against the Drevlians and later venerated as a saint for her early adoption and promotion of Christianity in the region.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b924908190879a7b6b70e0109a |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f84d432c8190a7d33e6c9f8ba8f2 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcaee26c8190a19f7d07a63531f6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd879ab88190b0a47295f5d7ad4d |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:40 a.m.