Triple

T21634235
Position Surface form Disambiguated ID Type / Status
Subject I Kill Giants E533911 entity
Predicate character P662 FINISHED
Object Sophia
Sophia is the young, troubled protagonist of the graphic novel and film "I Kill Giants," who copes with personal trauma by retreating into a fantasy world where she battles giants.
E1493963 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: Sophia | Statement: [I Kill Giants, character, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia
Context triple: [I Kill Giants, character, Sophia]
  • A. Sophia
    Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
  • B. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • C. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • D. Sophia
    Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • E. Sophia
    Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
  • 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: Sophia
Triple: [I Kill Giants, character, Sophia]
Generated description
Sophia is the young, troubled protagonist of the graphic novel and film "I Kill Giants," who copes with personal trauma by retreating into a fantasy world where she battles giants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sophia
Target entity description: Sophia is the young, troubled protagonist of the graphic novel and film "I Kill Giants," who copes with personal trauma by retreating into a fantasy world where she battles giants.
  • A. Sophia
    Sophia is the central character of William Styron’s novel "Darkness Visible," embodying the psychological and emotional struggles explored in the work.
  • B. Sophia
    Sophia is a fictional character from the film "How to Make an American Quilt," contributing to the intertwined stories of women whose lives are explored through the making of a communal quilt.
  • C. Sophia
    Sophia is the young, unhappily married woman at the center of the historical romance and art-themed drama in "Tulip Fever."
  • D. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • E. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52192e388190a3f316e33f452561 completed April 27, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f9bc2f481908ed5ba8292adf47f completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a105ec6a08190a7b6d89068e4e369 completed May 17, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0a113606f8819093b398915a291fa1 completed May 17, 2026, 7:04 p.m.
Created at: April 16, 2026, 6:35 p.m.