Triple
T15265666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias Brandt |
E364894
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Lars Brandt |
E362574
|
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: Lars Brandt | Statement: [Matthias Brandt, hasRelative, Lars Brandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars Brandt Context triple: [Matthias Brandt, hasRelative, Lars Brandt]
-
A.
Lars Brandt
chosen
Lars Brandt is a German author and filmmaker best known as a son of former German chancellor Willy Brandt.
-
B.
Dennis Weilmann
Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
-
C.
Lars Schmidt
Lars Schmidt was a Swedish theatrical producer and director known for bringing American and British plays to Scandinavian and European stages and for his marriage to actress Ingrid Bergman.
-
D.
Lars Heikensten
Lars Heikensten is a Swedish economist and former Governor of Sveriges Riksbank who has also held prominent roles in European financial institutions and cultural organizations.
-
E.
Hans Bradtke
Hans Bradtke was a German lyricist best known for writing popular song texts in the mid-20th century, including adaptations of international hits.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8757325c8190ad97f50368862ca5 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 3:14 a.m.