Triple

T17073953
Position Surface form Disambiguated ID Type / Status
Subject Kim Novak E414298 entity
Predicate familyName P18 FINISHED
Object Novak E533877 NE FINISHED

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: Novak | Statement: [Kim Novak, familyName, Novak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novak
Context triple: [Kim Novak, familyName, Novak]
  • A. Novak chosen
    Novak is a common Slavic surname borne by numerous notable individuals across fields such as sports, entertainment, and politics.
  • B. Novak Djokovic
    Novak Djokovic is a Serbian professional tennis player widely regarded as one of the greatest of all time, holding numerous Grand Slam titles and records across all major tournaments.
  • C. Jaka Lakovič
    Jaka Lakovič is a Slovenian former professional basketball player and current coach, best known as a skilled point guard who starred in European leagues and for the Slovenian national team.
  • D. Davidovich
    Davidovich is a Russian patronymic name meaning "son of David," commonly used as a middle name in Slavic naming traditions.
  • E. Björkman
    Björkman is a Swedish surname most notably associated with figures such as filmmaker and writer Stig Björkman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc3b69c819093b32da3998eed46 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.