Triple
T2992387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinair |
E80785
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Martin Schröder |
E320964
|
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: Martin Schröder | Statement: [Martinair, hasKeyPerson, Martin Schröder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Schröder Context triple: [Martinair, hasKeyPerson, Martin Schröder]
-
A.
Martin Schröder
chosen
Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
-
B.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
C.
Peter Kohl
Peter Kohl is a German businessman and author best known as the son of former German Chancellor Helmut Kohl.
-
D.
Andreas Schulze
Andreas Schulze is a contemporary German painter known for his large-scale, stylized depictions of everyday objects and interiors, often rendered with a playful yet subtly critical approach.
-
E.
Johannes Popitz
Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee1433c8190bdee291c12feeceb |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.