Triple
T2595097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Morgan |
E58209
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Alma Muller
Alma Muller was the wife of American character actor Frank Morgan, best known for his role as the Wizard in the 1939 film "The Wizard of Oz."
|
E303027
|
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: Alma Muller | Statement: [Frank Morgan, spouse, Alma Muller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma Muller Context triple: [Frank Morgan, spouse, Alma Muller]
-
A.
Alma Wassermann
Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
-
B.
Lilian Kaufmann
Lilian Kaufmann was a member of the prominent Kaufmann family of Pittsburgh, known as the original owners and patrons of Frank Lloyd Wright’s iconic Fallingwater house.
-
C.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
D.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
E.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
- 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: Alma Muller Triple: [Frank Morgan, spouse, Alma Muller]
Generated description
Alma Muller was the wife of American character actor Frank Morgan, best known for his role as the Wizard in the 1939 film "The Wizard of Oz."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alma Muller Target entity description: Alma Muller was the wife of American character actor Frank Morgan, best known for his role as the Wizard in the 1939 film "The Wizard of Oz."
-
A.
Alma Wassermann
Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
-
B.
Lilian Kaufmann
Lilian Kaufmann was a member of the prominent Kaufmann family of Pittsburgh, known as the original owners and patrons of Frank Lloyd Wright’s iconic Fallingwater house.
-
C.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
D.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
E.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe88781ec8190a13784501208c5a5 |
completed | March 10, 2026, 9:46 a.m. |
| NEDg | Description generation | batch_69afebdb8ec8819099878d0a61857efb |
completed | March 10, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0039dd22881909a90070a3d490df1 |
completed | March 10, 2026, 11:42 a.m. |
Created at: March 6, 2026, 9:49 p.m.