Triple

T8464814
Position Surface form Disambiguated ID Type / Status
Subject Kensi Blye E200133 entity
Predicate givenName P17 FINISHED
Object Kensi E200133 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: Kensi | Statement: [Kensi Blye, givenName, Kensi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensi
Context triple: [Kensi Blye, givenName, Kensi]
  • A. Kensi Blye chosen
    Kensi Blye is a highly skilled and resourceful NCIS Special Agent and former Marine who serves as one of the central protagonists on the television series NCIS: Los Angeles.
  • B. Kenna
    Kenna is an Ethiopian-American singer-songwriter and producer known for his genre-blending alternative rock and electronic music, as well as collaborations with prominent artists and producers.
  • C. Karla
    Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
  • D. Karla
    Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
  • E. Nakia
    Nakia is a 1970s American television drama series centered on a Native American deputy sheriff navigating crime and cultural tensions in a small New Mexico town.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d05b2881909bddf58df0ee1143 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.