Triple
T9361716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Einhorn |
E225291
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Dispeck, Germany |
E225291
|
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: Dispeck, Germany | Statement: [David Einhorn, placeOfBirth, Dispeck, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dispeck, Germany Context triple: [David Einhorn, placeOfBirth, Dispeck, Germany]
-
A.
Dispeck, Germany
chosen
Dispeck, Germany is a small German locality best known as the birthplace of hedge fund manager and investor David Einhorn.
-
B.
Schröttinghausen, Germany
Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
-
C.
Brühl, Germany
Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
-
D.
Seeheim-Jugenheim, Germany
Seeheim-Jugenheim is a municipality in the German state of Hesse, known for its scenic location on the Bergstraße and its historic villas and spa-town character.
-
E.
Friedberg, Germany
Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ca7308190818f27f1faf94a53 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3eaf2208190967a3a8e82a4070b |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:42 p.m.