Triple
T4361113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leah Rabin |
E98661
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rabin |
E98661
|
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: Rabin | Statement: [Leah Rabin, familyName, Rabin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rabin Context triple: [Leah Rabin, familyName, Rabin]
-
A.
Rabin
chosen
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
B.
Shamir
Shamir is a Hebrew surname most prominently associated with Yitzhak Shamir, a former Prime Minister of Israel.
-
C.
Michael Rabin
Michael Rabin is an Israeli computer scientist and Turing Award laureate renowned for his foundational contributions to automata theory, cryptography, and randomized algorithms.
-
D.
Yair Shamir
Yair Shamir is an Israeli businessman, former military officer, and politician who served as a government minister and is the son of former Prime Minister Yitzhak Shamir.
-
E.
Bennett Schneir
Bennett Schneir is a film producer best known for his work on large-scale Hollywood action and science fiction movies.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e504f7b88190abc3e999c499920d |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:16 p.m.