Triple
T2920576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrlich |
E78710
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Marianne Ehrlich |
E227036
|
NE FINISHED |
How this triple was built (2 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: Marianne Ehrlich | Statement: [Ehrlich, hasNotableBearer, Marianne Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Ehrlich Context triple: [Ehrlich, hasNotableBearer, Marianne Ehrlich]
-
A.
Marianne Ehrlich
chosen
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
B.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
C.
Anna Eberstein
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
-
D.
Elizabeth Paepcke
Elizabeth Paepcke was an American philanthropist and cultural visionary who, with her husband Walter, played a central role in transforming Aspen, Colorado into an international center for arts, ideas, and intellectual dialogue.
-
E.
Therese Bloch
Therese Bloch was the wife of prominent American Reform rabbi and Jewish leader Isaac Mayer Wise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a672f88190851e487dac18d43f |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276cc19b48190a952015c9e501dd6 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 8, 2026, 2:54 p.m.