Triple
T12728213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Eidinger |
E304161
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lars Eidinger |
E304161
|
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 Eidinger | Statement: [Lars Eidinger, name, Lars Eidinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars Eidinger Context triple: [Lars Eidinger, name, Lars Eidinger]
-
A.
Lars Eidinger
chosen
Lars Eidinger is a German actor known for his work in both arthouse cinema and mainstream films, as well as for acclaimed stage performances at Berlin's Schaubühne theatre.
-
B.
Christian Hebel
Christian Hebel is an American violinist and concertmaster known for his work on Broadway productions, film scores, and live performances with prominent recording artists.
-
C.
Andreas Scholl
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
D.
Uli Wiesendanger
Uli Wiesendanger is an advertising executive best known as a co-founder of the global advertising agency network TBWA Worldwide.
-
E.
Hannes Löhr
Hannes Löhr was a German footballer and later coach, best known as a prolific forward for 1. FC Köln and as a member of the West Germany national team.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e7dec08190b522a8f3bfde6fe2 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:25 p.m.