Triple

T16675299
Position Surface form Disambiguated ID Type / Status
Subject Kaleidoscope E405201 entity
Predicate hasPart P35 FINISHED
Object Christine
Christine is a character featured in the Netflix anthology crime series "Kaleidoscope."
 E1227114 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: Christine | Statement: [Kaleidoscope, hasPart, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [Kaleidoscope, hasPart, Christine]
  • A. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • B. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is the given first name of American singer, songwriter, and actress Christina Milian.
  • E. Christine
    Christine is a 1983 horror film directed by John Carpenter about a possessed, malevolent 1958 Plymouth Fury.
  • 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: Christine
Triple: [Kaleidoscope, hasPart, Christine]
Generated description
Christine is a character featured in the Netflix anthology crime series "Kaleidoscope."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christine
Target entity description: Christine is a character featured in the Netflix anthology crime series "Kaleidoscope."
  • A. Christine
    Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
  • B. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • E. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3ab8b481908b333b6a556a58d5 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008ad087b08190b725382c68687a15 completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b9a8b6481909df37edcecdd292c completed May 10, 2026, 1:43 p.m.
Created at: April 10, 2026, 5:19 a.m.