Triple

T21991995
Position Surface form Disambiguated ID Type / Status
Subject Matthew Garber E543111 entity
Predicate appearedIn P795 FINISHED
Object The Gnome-Mobile 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: The Gnome-Mobile | Statement: [Matthew Garber, appearedIn, The Gnome-Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gnome-Mobile
Context triple: [Matthew Garber, appearedIn, The Gnome-Mobile]
  • A. The Gnome-Mobile chosen
    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.
  • B. Openmoko Neo 1973
    The Openmoko Neo 1973 is an open-source, Linux-based smartphone known for its hackable hardware and fully open software stack aimed at developers and enthusiasts.
  • C. Movilă
    Movilă is a Romanian noble family name historically associated with Moldavian and Wallachian rulers.
  • D. Nokia Belle
    Nokia Belle is a touchscreen-optimized version of the Symbian operating system developed by Nokia for its later-generation smartphones.
  • E. Mobo
    Mobo is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and agricultural and fishing-based economy.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270e951081908deda039b47ca84b completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.