Triple

T15072019
Position Surface form Disambiguated ID Type / Status
Subject The Closers E379899 entity
Predicate hasCharacter P2308 FINISHED
Object Kiz Rider
Kiz Rider is a recurring Los Angeles police detective in Michael Connelly’s crime novels, known for her sharp investigative skills and partnership with Harry Bosch.
E1134757 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: Kiz Rider | Statement: [The Closers, hasCharacter, Kiz Rider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiz Rider
Context triple: [The Closers, hasCharacter, Kiz Rider]
  • A. Rine-chan
    Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
  • B. Kiki Aru
    Kiki Aru is a young Munchkin boy and powerful but misguided magician who serves as the central antagonist in L. Frank Baum’s Oz novel "The Magic of Oz."
  • C. Kioko
    Kioko is an alternative name for the Chokwe, a Bantu-speaking ethnic group of Central and Southern Africa known for their rich artistic and cultural traditions.
  • D. Kida Kudz
    Kida Kudz is a Nigerian-born, UK-based rapper and singer known for blending Afrobeats with trap and hip-hop influences.
  • E. Kiddo
    Kiddo is a music producer known for working on the track "Elevation."
  • 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: Kiz Rider
Triple: [The Closers, hasCharacter, Kiz Rider]
Generated description
Kiz Rider is a recurring Los Angeles police detective in Michael Connelly’s crime novels, known for her sharp investigative skills and partnership with Harry Bosch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiz Rider
Target entity description: Kiz Rider is a recurring Los Angeles police detective in Michael Connelly’s crime novels, known for her sharp investigative skills and partnership with Harry Bosch.
  • A. Rine-chan
    Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
  • B. Kiki Aru
    Kiki Aru is a young Munchkin boy and powerful but misguided magician who serves as the central antagonist in L. Frank Baum’s Oz novel "The Magic of Oz."
  • C. Kioko
    Kioko is an alternative name for the Chokwe, a Bantu-speaking ethnic group of Central and Southern Africa known for their rich artistic and cultural traditions.
  • D. Kida Kudz
    Kida Kudz is a Nigerian-born, UK-based rapper and singer known for blending Afrobeats with trap and hip-hop influences.
  • E. Kiddo
    Kiddo is a music producer known for working on the track "Elevation."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7f86df48190b3a2cf441fefb477 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea6bf2558819082fc91fe8df6f3f5 completed May 9, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fea8018a088190b6eba72a7e6196b2 completed May 9, 2026, 3:20 a.m.
Created at: April 10, 2026, 3:02 a.m.