Triple
T15659670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. Leivick |
E376536
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Leivick Halpern |
E385349
|
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: Leivick Halpern | Statement: [H. Leivick, birthName, Leivick Halpern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leivick Halpern Context triple: [H. Leivick, birthName, Leivick Halpern]
-
A.
Ely Landau
Ely Landau was an American film and television producer best known for founding the American Film Theatre, which adapted notable stage plays into feature films.
-
B.
Aladar Fleischman
Aladar Fleischman was a notable figure in engineering whose contributions were significant enough to have the Iby and Aladar Fleischman Faculty of Engineering named in his honor.
-
C.
Moyshe-Leyb Halpern
chosen
Moyshe-Leyb Halpern was a prominent early 20th-century Yiddish modernist poet known for his sharp irony, urban imagery, and innovative free-verse style.
-
D.
Uriel Weinreich
Uriel Weinreich was a prominent linguist known for his pioneering work in Yiddish studies, language contact, and sociolinguistics.
-
E.
Youra Livchitz
Youra Livchitz was a Belgian Jewish resistance fighter during World War II, best known for helping to stop a Nazi deportation train carrying Jews to Auschwitz in 1943.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa124e7d48190ac25e9541dea0122 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:15 a.m.