Triple

T7436247
Position Surface form Disambiguated ID Type / Status
Subject Quest for Fire E171622 entity
Predicate mainCharacter P1183 FINISHED
Object Ika
Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
E663437 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: Ika | Statement: [Quest for Fire, mainCharacter, Ika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ika
Context triple: [Quest for Fire, mainCharacter, Ika]
  • A. Ika
    Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
  • B. Lamut
    Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
  • C. Scupi
    Scupi was an ancient city that served as a major political and administrative center in the region of Dardania, in the central Balkans.
  • D. Homarus
    Homarus is a genus of large clawed marine lobsters that includes commercially important species such as the American and European lobsters.
  • E. Octopus
    Octopus is a famous luxury megayacht, formerly owned by Microsoft co-founder Paul Allen, known for its massive size, advanced exploration equipment, and use in scientific and philanthropic expeditions.
  • 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: Ika
Triple: [Quest for Fire, mainCharacter, Ika]
Generated description
Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ika
Target entity description: Ika is a central prehistoric human character in the 1981 film "Quest for Fire," which follows early humans on a journey to obtain and protect the vital resource of fire.
  • A. Ika
    Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
  • B. Lamut
    Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
  • C. Scupi
    Scupi was an ancient city that served as a major political and administrative center in the region of Dardania, in the central Balkans.
  • D. Homarus
    Homarus is a genus of large clawed marine lobsters that includes commercially important species such as the American and European lobsters.
  • E. Octopus
    Octopus is a 1995 synth-pop album by British band The Human League, known for revitalizing their career with the hit single "Tell Me When."
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f228014819088220b2cefc3ee41 completed March 28, 2026, 6:34 p.m.
NEDg Description generation batch_69c81febb48c8190893a78608027a4c7 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c82112c894819096101fb506af7432 completed March 28, 2026, 6:42 p.m.
Created at: March 27, 2026, 3:13 p.m.