Triple
T8996595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ismar David |
E214930
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ismar David |
E214930
|
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: Ismar David | Statement: [Ismar David, name, Ismar David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ismar David Context triple: [Ismar David, name, Ismar David]
-
A.
Ismar David
chosen
Ismar David was a German-born Israeli-American graphic designer and typeface designer renowned for his influential book jackets and the creation of the David Hebrew typeface.
-
B.
Avraham Krinitzi
Avraham Krinitzi was an Israeli politician best known as the longtime first mayor and key builder of the city of Ramat Gan.
-
C.
Ismar Elbogen
Ismar Elbogen was a prominent German-Jewish rabbi and scholar best known for his influential research on Jewish liturgy and religious history.
-
D.
Paul Varjak
Paul Varjak is a struggling writer and Holly Golightly’s neighbor and love interest in Truman Capote’s novella and the film adaptation "Breakfast at Tiffany’s."
-
E.
Branko Grünbaum
Branko Grünbaum was a Croatian-Israeli mathematician renowned for his influential work in discrete geometry, particularly on convex polytopes, tilings, and combinatorial geometry.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68df33c48190a5017426e59c0bc4 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d586c881909090b424f6fd036f |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:04 p.m.