Triple

T9898196
Position Surface form Disambiguated ID Type / Status
Subject Mono E182226 entity
Predicate developer P73 FINISHED
Object Novell E193774 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: Novell | Statement: [Mono, developer, Novell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novell
Context triple: [Mono, developer, Novell]
  • A. Novell chosen
    Novell was a prominent software company best known for its NetWare network operating system and contributions to enterprise networking and Linux technologies.
  • B. Sostrata
    Sostrata is a character in Niccolò Machiavelli’s comedic play "The Mandrake," depicted as the mother of Lucrezia and a figure entangled in the play’s schemes surrounding fertility and deception.
  • C. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • D. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • E. Netscape Communications Corporation
    Netscape Communications Corporation was a pioneering web browser company of the 1990s whose Netscape Navigator played a central role in the early popularization of the World Wide Web.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ac27d88190b8255f7e616f95c9 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb17ed548190a2510a667dd988ca completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.