Triple
T9931372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD5 |
E192654
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | SHA-2 |
E434687
|
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: SHA-2 | Statement: [MD5, replacedBy, SHA-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHA-2 Context triple: [MD5, replacedBy, SHA-2]
-
A.
SHA-2
chosen
SHA-2 is a family of cryptographic hash functions widely used for data integrity, digital signatures, and security protocols on the internet.
-
B.
SHA-256
SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
-
C.
SHA-1
SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
-
D.
SHA-0
SHA-0 is an early, now-obsolete cryptographic hash function in the Secure Hash Algorithm family, known for its structural weaknesses and subsequent replacement by SHA-1.
-
E.
BLAKE2b
BLAKE2b is a cryptographic hash function optimized for 64-bit platforms, known for its high speed, strong security, and use in modern applications as a successor to algorithms like SHA-2 and MD5.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228cab0fc81908ff5fad6916c1bab |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:43 p.m.