Triple
T16512965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Lange |
E401106
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | André Lange |
E401106
|
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: André Lange | Statement: [André Lange, birthName, André Lange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Lange Context triple: [André Lange, birthName, André Lange]
-
A.
André Lange
chosen
André Lange is a German bobsledder widely regarded as one of the most successful in the sport’s history, having won multiple Olympic and World Championship titles.
-
B.
Helmut Lange
Helmut Lange was a German actor known for his roles in film and television during the mid-20th century.
-
C.
René Langel
René Langel was a Swiss cultural figure best known as one of the founders of the renowned Montreux Jazz Festival.
-
D.
Manfred Scheuer
Manfred Scheuer is an Austrian Roman Catholic prelate who serves as the Bishop of Linz.
-
E.
Paul Lohmann
Paul Lohmann was an American cinematographer known for his work on 1970s films, particularly collaborations with director Robert Altman.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e78d4848190a55de9902115b1b2 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a59eb48190901ba7907c09639d |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.