Triple
T17386005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Crépeau |
E422687
|
entity |
| Predicate | coauthor |
P2389
|
FINISHED |
| Object | Tal Rabin |
—
|
NE NERFINISHED |
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: Tal Rabin | Statement: [Claude Crépeau, coauthor, Tal Rabin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tal Rabin Context triple: [Claude Crépeau, coauthor, Tal Rabin]
-
A.
Tal Rabin
chosen
Tal Rabin is a prominent computer scientist and cryptographer known for her influential work in secure multiparty computation and cryptographic protocols.
-
B.
Avigdor Kara
Avigdor Kara was a medieval Jewish poet and scholar from Prague, known for his elegiac writings reflecting the persecutions of Central European Jewry.
-
C.
Eitan Livni
Eitan Livni was an Israeli Irgun commander and politician who served as a member of the Knesset and was the father of prominent Israeli politician Tzipi Livni.
-
D.
Assaf Razin
Assaf Razin is an Israeli economist renowned for his influential work in international economics, public finance, and macroeconomic policy.
-
E.
Elisha Netanyahu
Elisha Netanyahu was an Israeli mathematician known for his work in complex analysis and for mentoring prominent students, including computer scientist Amir Pnueli.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a89c5008190a277a68e5cfe67b7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.