Triple

T8391616
Position Surface form Disambiguated ID Type / Status
Subject NCIS: Hawaiʻi E197955 entity
Predicate character P662 FINISHED
Object Kate Whistler
Kate Whistler is a fictional Defense Intelligence Agency officer and love interest of NCIS agent Lucy Tara on the television series NCIS: Hawaiʻi.
E730874 NE FINISHED

How this triple was built (4 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: Kate Whistler | Statement: [NCIS: Hawaiʻi, character, Kate Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Whistler
Context triple: [NCIS: Hawaiʻi, character, Kate Whistler]
  • A. 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.
  • B. Rachel Dawes
    Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
  • C. Mattie Della Shaw
    Mattie Della Shaw was the mother of the American musician Prince, who played a significant role in his early life and musical upbringing.
  • D. Natasha Caine
    Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
  • E. Jesse Mercer
    Jesse Mercer was a 19th-century Baptist minister, educator, and philanthropist who played a key role in advancing Baptist education in Georgia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kate Whistler
Triple: [NCIS: Hawaiʻi, character, Kate Whistler]
Generated description
Kate Whistler is a fictional Defense Intelligence Agency officer and love interest of NCIS agent Lucy Tara on the television series NCIS: Hawaiʻi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kate Whistler
Target entity description: Kate Whistler is a fictional Defense Intelligence Agency officer and love interest of NCIS agent Lucy Tara on the television series NCIS: Hawaiʻi.
  • A. 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.
  • B. Rachel Dawes
    Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
  • C. Mattie Della Shaw
    Mattie Della Shaw was the mother of the American musician Prince, who played a significant role in his early life and musical upbringing.
  • D. Natasha Caine
    Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
  • E. Jesse Mercer
    Jesse Mercer was a 19th-century Baptist minister, educator, and philanthropist who played a key role in advancing Baptist education in Georgia.
  • F. None of above. chosen

Provenance (5 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.