Triple

T19352366
Position Surface form Disambiguated ID Type / Status
Subject Jens Steube E484053 entity
Predicate softwareProject P25429 FINISHED
Object oclHashcat 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: oclHashcat | Statement: [Jens Steube, softwareProject, oclHashcat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: oclHashcat
Context triple: [Jens Steube, softwareProject, oclHashcat]
  • A. Hashcat chosen
    Hashcat is a high-performance, open-source password recovery and cracking tool that supports numerous hashing algorithms and leverages GPU acceleration for speed.
  • B. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • C. Hash
    "Hash" is a darkly comic novel by Swedish author Torgny Lindgren that explores memory, identity, and rural life through the story of two men obsessively disputing who makes the better potato hash.
  • D. GHASH
    GHASH is a polynomial-based universal hash function used within Galois/Counter Mode (GCM) to provide efficient message authentication over binary fields.
  • E. Aircrack‑ng
    Aircrack‑ng is an open-source suite of tools used for auditing and cracking Wi‑Fi network security, including WEP and WPA/WPA2 encryption.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.