Triple

T16011832
Position Surface form Disambiguated ID Type / Status
Subject Jacob Hargreave E388353 entity
Predicate affiliation P10 FINISHED
Object CryNet Systems E1189401 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: CryNet Systems | Statement: [Jacob Hargreave, affiliation, CryNet Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CryNet Systems
Context triple: [Jacob Hargreave, affiliation, CryNet Systems]
  • A. CryNet Systems chosen
    CryNet Systems is a powerful fictional megacorporation in the Crysis video game series, known for developing advanced military technologies and the iconic Nanosuit exoskeletons.
  • B. Celeno Communications
    Celeno Communications is a semiconductor company specializing in advanced Wi‑Fi chipsets and solutions for high-performance home and enterprise networking.
  • C. Quasar Technologies
    Quasar Technologies is the company that originally developed the Qt application development framework, widely used for creating cross-platform software.
  • D. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • E. Syntrillium Software
    Syntrillium Software was a software company best known for creating the audio editing program Cool Edit, which later evolved into Adobe Audition after Adobe acquired the firm.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1829119648190aef5b5e84b26d898 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcc12dc8190a80d776b63a6ad35 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.