Triple

T6827101
Position Surface form Disambiguated ID Type / Status
Subject Luka and the Fire of Life E157042 entity
Predicate mainCharacter P1183 FINISHED
Object Luka
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
E621526 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: Luka | Statement: [Luka and the Fire of Life, mainCharacter, Luka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luka
Context triple: [Luka and the Fire of Life, mainCharacter, Luka]
  • A. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • B. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • C. Luka Pecel
    Luka Pecel is the husband of American actress Sasha Alexander, known for her roles in television series such as "NCIS" and "Rizzoli & Isles."
  • D. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • E. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • 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: Luka
Triple: [Luka and the Fire of Life, mainCharacter, Luka]
Generated description
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luka
Target entity description: Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
  • A. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • B. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • C. Luka Pecel
    Luka Pecel is the husband of American actress Sasha Alexander, known for her roles in television series such as "NCIS" and "Rizzoli & Isles."
  • D. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • E. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58583a4819099edbf753c7c7087 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724d740588190a4ed1aa532ee7335 completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c725aedfd0819097ae603cc49ff9a8 completed March 28, 2026, 12:49 a.m.
Created at: March 27, 2026, 2:18 p.m.