Triple
T8663040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Biham |
E205593
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Orr Dunkelman |
E811141
|
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: Orr Dunkelman | Statement: [Eli Biham, notableStudent, Orr Dunkelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orr Dunkelman Context triple: [Eli Biham, notableStudent, Orr Dunkelman]
-
A.
Orr Dunkelman
chosen
Orr Dunkelman is an Israeli cryptographer and computer scientist known for his contributions to symmetric-key cryptanalysis and the design and analysis of cryptographic algorithms.
-
B.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
C.
Benjamin Stoloff
Benjamin Stoloff was an American film director active during the early to mid-20th century, known for his work on comedies and genre films in Hollywood.
-
D.
Dov Hoenig
Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
-
E.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4872a190819087d679f3006bd030 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189c795d48190ba80739d07bc899c |
completed | April 4, 2026, 9:59 p.m. |
Created at: March 30, 2026, 6:30 p.m.