Triple
T6823381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Arendt (2012 film) |
E156953
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Axel Milberg |
E623345
|
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: Axel Milberg | Statement: [Hannah Arendt (2012 film), hasCastMember, Axel Milberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axel Milberg Context triple: [Hannah Arendt (2012 film), hasCastMember, Axel Milberg]
-
A.
Axel Milberg
chosen
Axel Milberg is a German actor known for his extensive work in film and television, including prominent roles in dramas and crime series.
-
B.
Carl Molinder
Carl Molinder is a Swedish film producer best known for his work on the critically acclaimed horror drama "Let the Right One In."
-
C.
Hans Axgil
Hans Axgil is a fictional character in the film "The Danish Girl," portrayed as a compassionate childhood friend and later love interest who supports Lili Elbe through her gender transition.
-
D.
Johan Aberg
Johan Åberg is a Swedish songwriter and producer known for his work on international pop hits, including contributions to artists like Christina Aguilera.
-
E.
Charles Boberg
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d580ca448190aa6d52908ca50e39 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7426356a88190a36b53a46c1776e0 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:18 p.m.