Triple
T9961814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Krawczyk |
E195586
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object | Shmuel Winograd |
E707714
|
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: Shmuel Winograd | Statement: [Hugo Krawczyk, hasAcademicAdvisor, Shmuel Winograd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shmuel Winograd Context triple: [Hugo Krawczyk, hasAcademicAdvisor, Shmuel Winograd]
-
A.
Shmuel Winograd
chosen
Shmuel Winograd was a prominent computer scientist known for his influential work in computational complexity and fast algorithms, particularly in matrix multiplication.
-
B.
Moshe Rosenblum
Moshe Rosenblum is known primarily as the son of Herzl Rosenblum, a prominent Israeli journalist, politician, and signatory of the Israeli Declaration of Independence.
-
C.
Shimon Even
Shimon Even was an influential Israeli computer scientist known for his foundational contributions to graph algorithms and computational complexity theory.
-
D.
Shmuel Shtrikman
Shmuel Shtrikman was an Israeli physicist renowned for his influential contributions to condensed matter physics and materials science.
-
E.
Daniel G. Bobrow
Daniel G. Bobrow was an influential American computer scientist and early artificial intelligence researcher known for his work on natural language understanding and AI programming systems.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d37f0c8190946b958c399f3250 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257aa73d4819081f77f8386449905 |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:47 p.m.