Triple

T7895959
Position Surface form Disambiguated ID Type / Status
Subject Mono runtime E183343 entity
Predicate originalDeveloper P184 FINISHED
Object Ximian E255507 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: Ximian | Statement: [Mono runtime, originalDeveloper, Ximian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ximian
Context triple: [Mono runtime, originalDeveloper, Ximian]
  • A. Ximian chosen
    Ximian was a software company best known for developing and supporting GNOME-based desktop and productivity applications for Linux and Unix systems.
  • B. The Gnome-Mobile
    The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
  • C. Plumtree
    Plumtree is a small border town in southwestern Zimbabwe that serves as a key road and rail gateway between Zimbabwe and Botswana.
  • D. Nepomuk
    Nepomuk is a small historic town in the Plzeň Region of the Czech Republic, best known as the birthplace of Saint John of Nepomuk.
  • E. Eazel
    Eazel was a short-lived software company best known for developing the Nautilus file manager and attempting to simplify the Linux desktop experience around 2000–2001.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a174574819084270dbb6fcbb7fe completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bae4bdc8190be7db2ba3acb708a completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.