Triple
T9622372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Archipenko |
E232374
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Frances Gray
Frances Gray was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his later life and artistic circle.
|
E811324
|
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: Frances Gray | Statement: [Alexander Archipenko, spouse, Frances Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Gray Context triple: [Alexander Archipenko, spouse, Frances Gray]
-
A.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
-
B.
Virginia Gray
Virginia Gray is a notable individual recognized for her contributions in her respective field, distinguished enough to be cited as a prominent bearer of the surname Gray.
-
C.
Mary Fawcett
Mary Fawcett was the mother of British academic and politician Henry Fawcett, a noted 19th-century economist and Postmaster General.
-
D.
Frances Glanville
Frances Glanville was the wife of British Royal Navy admiral Edward Boscawen, a prominent 18th-century naval commander and politician.
-
E.
Frances Wolfe
Frances Wolfe was the wife of American actor, director, and producer Sheldon Leonard.
- 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: Frances Gray Triple: [Alexander Archipenko, spouse, Frances Gray]
Generated description
Frances Gray was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his later life and artistic circle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frances Gray Target entity description: Frances Gray was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his later life and artistic circle.
-
A.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
-
B.
Virginia Gray
Virginia Gray is a notable individual recognized for her contributions in her respective field, distinguished enough to be cited as a prominent bearer of the surname Gray.
-
C.
Mary Fawcett
Mary Fawcett was the mother of British academic and politician Henry Fawcett, a noted 19th-century economist and Postmaster General.
-
D.
Frances Glanville
Frances Glanville was the wife of British Royal Navy admiral Edward Boscawen, a prominent 18th-century naval commander and politician.
-
E.
Frances Wolfe
Frances Wolfe was the wife of American actor, director, and producer Sheldon Leonard.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad505588190b8c81ce09f1904ec |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18225f9508190bde23b9d2a40bccc |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d182db3ef481908a7e588aa35a7a3f |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d183481f488190ab63f0bde2d5c6fc |
completed | April 4, 2026, 9:31 p.m. |
Created at: March 30, 2026, 8:10 p.m.