Triple

T19133883
Position Surface form Disambiguated ID Type / Status
Subject Gregory Nagy E468384 entity
Predicate familyName P18 FINISHED
Object Nagy 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: Nagy | Statement: [Gregory Nagy, familyName, Nagy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagy
Context triple: [Gregory Nagy, familyName, Nagy]
  • A. Nagy chosen
    Nagy is a common Hungarian surname borne by numerous notable figures in politics, arts, sports, and science.
  • B. Veľká
    Veľká is a borough of the Slovak city of Poprad, known as a former independent village at the foot of the High Tatras.
  • C. Máhanaxar
    Máhanaxar is the Ring of Doom in Aman, the hallowed gathering place where the Valar hold their councils and pronounce judgments in J.R.R. Tolkien’s legendarium.
  • D. Lazgi
    Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
  • E. Kubwa
    Kubwa is a major suburban district and one of the largest residential areas within Nigeria’s Federal Capital Territory, near Abuja.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3eb325081909035beefd1c9daf0 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.