Triple

T8464872
Position Surface form Disambiguated ID Type / Status
Subject Marty Deeks E200134 entity
Predicate partner P1136 FINISHED
Object Kensi Blye 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 Blye | Statement: [Marty Deeks, partner, Kensi Blye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kensi Blye
Context triple: [Marty Deeks, partner, Kensi Blye]
  • 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. Calleigh Duquesne
    Calleigh Duquesne is a ballistics expert and crime scene investigator on the television series CSI: Miami, known for her Southern charm, professionalism, and forensic expertise.
  • C. Claire Temple
    Claire Temple is a compassionate and resourceful nurse in the Marvel universe who frequently aids street-level heroes like Daredevil and Luke Cage, often serving as a crucial moral and medical support.
  • D. Sara Sidle
    Sara Sidle is a forensic scientist and key member of the Las Vegas crime lab team in the television series "CSI: Crime Scene Investigation."
  • E. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • 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_69cebb52978481909c60e43abd496746 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:11 p.m.