Triple

T17379909
Position Surface form Disambiguated ID Type / Status
Subject Tony Kanal E422537 entity
Predicate familyName P18 FINISHED
Object Kanal 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: Kanal | Statement: [Tony Kanal, familyName, Kanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanal
Context triple: [Tony Kanal, familyName, Kanal]
  • A. Kanal
    "Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
  • B. Kanal chosen
    Kanal is a small Slovenian town on the Soča River known for its historic stone bridge, picturesque setting, and role as a local administrative and cultural center.
  • C. Kanal
    "Kanal" is a 1957 Polish war film directed by Andrzej Wajda that portrays the tragic fate of Home Army soldiers during the final days of the Warsaw Uprising.
  • D. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • E. Calandkanaal
    Calandkanaal is a major shipping canal in the Port of Rotterdam, Netherlands, forming part of the access route between the North Sea and the port’s industrial areas.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8559748190844c506f6f9230d4 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.