Triple
T16685205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignatz Sonnenschein |
E405444
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ignatz |
E1057972
|
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: Ignatz | Statement: [Ignatz Sonnenschein, givenName, Ignatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ignatz Context triple: [Ignatz Sonnenschein, givenName, Ignatz]
-
A.
Ignaz
chosen
Ignaz is a masculine given name of Germanic origin historically borne by several notable Central European figures.
-
B.
Fritzie
Fritzie was the ring nickname of Fritzie Zivic, a rugged and crafty American welterweight boxing champion active in the 1930s and 1940s.
-
C.
Ignatz Sonnenschein
Ignatz Sonnenschein is the central member of a Hungarian Jewish family whose life and identity struggles anchor the multigenerational historical drama in the film "Sunshine."
-
D.
Dr. Igor
Dr. Igor is a psychiatrist in Paulo Coelho’s novel "Veronika Decides to Die," known for his controversial experimental approach to treating patients in a mental institution.
-
E.
Hans Klopek
Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.