Triple
T12729006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betsy Wollheim |
E304181
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Elsa J. Wollheim
Elsa J. Wollheim is the daughter of American editor and publisher Betsy Wollheim.
|
E1038665
|
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: Elsa J. Wollheim | Statement: [Betsy Wollheim, parent, Elsa J. Wollheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsa J. Wollheim Context triple: [Betsy Wollheim, parent, Elsa J. Wollheim]
-
A.
Luise Straus-Ernst
Luise Straus-Ernst was a German art historian, critic, and writer associated with the Dada and Surrealist movements, who later became a victim of the Holocaust.
-
B.
Eileen Schauder Winters
Eileen Schauder Winters was the longtime wife of American comedian and actor Jonathan Winters.
-
C.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
D.
Agnes M. Herzberg
Agnes M. Herzberg is a Canadian statistician known for her contributions to the design of experiments and for her leadership in the international statistics community.
-
E.
Elisabeth Moltmann-Wendel
Elisabeth Moltmann-Wendel was a German feminist theologian and author known for her pioneering work in feminist theology and contributions to practical and pastoral theology.
- 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: Elsa J. Wollheim Triple: [Betsy Wollheim, parent, Elsa J. Wollheim]
Generated description
Elsa J. Wollheim is the daughter of American editor and publisher Betsy Wollheim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsa J. Wollheim Target entity description: Elsa J. Wollheim is the daughter of American editor and publisher Betsy Wollheim.
-
A.
Luise Straus-Ernst
Luise Straus-Ernst was a German art historian, critic, and writer associated with the Dada and Surrealist movements, who later became a victim of the Holocaust.
-
B.
Eileen Schauder Winters
Eileen Schauder Winters was the longtime wife of American comedian and actor Jonathan Winters.
-
C.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
D.
Agnes M. Herzberg
Agnes M. Herzberg is a Canadian statistician known for her contributions to the design of experiments and for her leadership in the international statistics community.
-
E.
Elisabeth Moltmann-Wendel
Elisabeth Moltmann-Wendel was a German feminist theologian and author known for her pioneering work in feminist theology and contributions to practical and pastoral theology.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304f62288190aa7788fc6fb04254 |
completed | May 3, 2026, 11:23 a.m. |
| NEDg | Description generation | batch_69f7316101e48190b3ec59a4376a0562 |
completed | May 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731f8e98c8190becfad8e3a371484 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 5:25 p.m.