Triple
T4833507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intriguing properties of neural networks |
E108000
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Wojciech Zaremba |
E17410
|
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: Wojciech Zaremba | Statement: [Intriguing properties of neural networks, author, Wojciech Zaremba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wojciech Zaremba Context triple: [Intriguing properties of neural networks, author, Wojciech Zaremba]
-
A.
Wojciech Zaremba
chosen
Wojciech Zaremba is a Polish computer scientist and entrepreneur known for co-founding OpenAI and contributing to advances in artificial intelligence research.
-
B.
Krzysztof Zaremba
Krzysztof Zaremba is a Polish academic and professor who serves as the rector of the Warsaw University of Technology.
-
C.
Piotr Sobociński
Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
-
D.
Piotr Wysocki
Piotr Wysocki was a Polish army officer and independence activist best known for initiating the November Uprising of 1830 against Russian rule.
-
E.
Andrzej Bartkowiak
Andrzej Bartkowiak is a Polish-American cinematographer and film director known for his work on major Hollywood action and comedy films.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186311c88190a8fe34e497e4662b |
completed | March 21, 2026, 10:14 p.m. |
Created at: March 20, 2026, 1:25 p.m.