Triple

T22189294
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lipnicki E548374 entity
Predicate appearedIn P795 FINISHED
Object Meego 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: Meego | Statement: [Jonathan Lipnicki, appearedIn, Meego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meego
Context triple: [Jonathan Lipnicki, appearedIn, Meego]
  • A. Meego chosen
    "Meego" is an American television sitcom that aired in 1997, created by Thomas L. Miller and Robert L. Boyett, about an alien who becomes a nanny to three children.
  • B. MeeGo
    MeeGo is a discontinued Linux-based open-source operating system platform designed primarily for mobile devices and embedded systems, developed jointly by Nokia and Intel.
  • C. Maemo
    Maemo is a Linux-based mobile operating system platform developed by Nokia for its Internet tablets and smartphones.
  • D. Tizen
    Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
  • E. 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.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aac07d88190848c940863c0a0c7 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.