Triple
T8019449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Safire |
E186700
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helene Belmar Julius
Helene Belmar Julius was the wife of American political columnist and speechwriter William Safire.
|
E710145
|
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: Helene Belmar Julius | Statement: [William Safire, spouse, Helene Belmar Julius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helene Belmar Julius Context triple: [William Safire, spouse, Helene Belmar Julius]
-
A.
Hermine Andermann
Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
-
B.
Blanche Oelrichs
Blanche Oelrichs was an American poet, playwright, and actress—often writing under the pseudonym Michael Strange—who was active in early 20th-century literary and theatrical circles.
-
C.
Josephine Marcus
Josephine Marcus is a central figure in the Western film "Tombstone," portrayed as Wyatt Earp’s romantic interest and a strong-willed, independent woman.
-
D.
Helene Tutein
Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
-
E.
Lucille Bremer
Lucille Bremer was an American film actress and dancer best known for her 1940s MGM musicals, particularly her collaborations with Fred Astaire.
- 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: Helene Belmar Julius Triple: [William Safire, spouse, Helene Belmar Julius]
Generated description
Helene Belmar Julius was the wife of American political columnist and speechwriter William Safire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helene Belmar Julius Target entity description: Helene Belmar Julius was the wife of American political columnist and speechwriter William Safire.
-
A.
Hermine Andermann
Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
-
B.
Blanche Oelrichs
Blanche Oelrichs was an American poet, playwright, and actress—often writing under the pseudonym Michael Strange—who was active in early 20th-century literary and theatrical circles.
-
C.
Josephine Marcus
Josephine Marcus is a central figure in the Western film "Tombstone," portrayed as Wyatt Earp’s romantic interest and a strong-willed, independent woman.
-
D.
Helene Tutein
Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
-
E.
Lucille Bremer
Lucille Bremer was an American film actress and dancer best known for her 1940s MGM musicals, particularly her collaborations with Fred Astaire.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c4937c8190999a156299299ab3 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc67e8eb78819093fde98c7b27a0c8 |
completed | April 1, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6946aa5481908d682957b818a3e9 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:20 p.m.