Triple

T18568434
Position Surface form Disambiguated ID Type / Status
Subject George Moir Christie E453816 entity
Predicate nickname P55 FINISHED
Object Kitch 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: Kitch | Statement: [George Moir Christie, nickname, Kitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitch
Context triple: [George Moir Christie, nickname, Kitch]
  • A. Kitch chosen
    Kitch is the nickname of Kitch Christie, the renowned South African rugby coach who led the Springboks to victory in the 1995 Rugby World Cup.
  • B. KITCH
    KITCH is the station code for Kitchener railway station in Ontario, Canada, used in rail scheduling, ticketing, and passenger information systems.
  • C. Küchüm
    Küchüm was the last khan of the Siberian Khanate, known for his resistance to Russian expansion into Siberia in the late 16th century.
  • D. Kuchis
    Kuchis are traditionally nomadic Pashtun pastoralists of Afghanistan known for their seasonal migrations with livestock across various provinces.
  • E. Kiche
    Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53affc3e08190b4d16b5ccb0bddbc completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.