Triple
T20665319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Teitelbaum |
E507869
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joel Teitelbaum |
E507869
|
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: Joel Teitelbaum | Statement: [Joel Teitelbaum, name, Joel Teitelbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Teitelbaum Context triple: [Joel Teitelbaum, name, Joel Teitelbaum]
-
A.
Joel Teitelbaum
chosen
Joel Teitelbaum was a prominent Hasidic rabbi and founding Satmar Rebbe, known for leading and shaping the Satmar Hasidic community.
-
B.
Zalman Ehrlich
Zalman Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
C.
Nahum Gelber
Nahum Gelber was a Canadian lawyer, philanthropist, and community leader known for his significant contributions to legal education and Jewish cultural and charitable institutions.
-
D.
George Nachman
George Nachman is a software engineer best known as the creator and maintainer of the popular macOS terminal emulator iTerm2.
-
E.
Moshe Diamant
Moshe Diamant is a film producer known for his work on action and science fiction movies, including the 1994 time-travel film "Timecop."
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5fc3e081909087414333b2615e |
completed | May 16, 2026, 8:02 p.m. |
Created at: April 16, 2026, 11:44 a.m.