Triple

T18901883
Position Surface form Disambiguated ID Type / Status
Subject Apprentice Adept series E462356 entity
Predicate mainCharacter P1183 FINISHED
Object Fleta
Fleta is the young magical protagonist of the "Apprentice Adept" science fantasy series by Piers Anthony, navigating both a technological world and a parallel realm of magic.
E1348170 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: Fleta | Statement: [Apprentice Adept series, mainCharacter, Fleta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleta
Context triple: [Apprentice Adept series, mainCharacter, Fleta]
  • A. Frittenden
    Frittenden is a rural village and civil parish in the county of Kent in South East England, known for its historic church and traditional countryside character.
  • B. Foulis
    Foulis is the traditional Highland estate and seat associated with Clan Munro in Scotland.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Lucerner
    A Lucerner is a resident or native of the Swiss city of Lucerne.
  • E. Fertagus
    Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
  • 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: Fleta
Triple: [Apprentice Adept series, mainCharacter, Fleta]
Generated description
Fleta is the young magical protagonist of the "Apprentice Adept" science fantasy series by Piers Anthony, navigating both a technological world and a parallel realm of magic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fleta
Target entity description: Fleta is the young magical protagonist of the "Apprentice Adept" science fantasy series by Piers Anthony, navigating both a technological world and a parallel realm of magic.
  • A. Frittenden
    Frittenden is a rural village and civil parish in the county of Kent in South East England, known for its historic church and traditional countryside character.
  • B. Foulis
    Foulis is the traditional Highland estate and seat associated with Clan Munro in Scotland.
  • C. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • D. Lucerner
    A Lucerner is a resident or native of the Swiss city of Lucerne.
  • E. Fertagus
    Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582bc878c8190bfb5f058aa272225 completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05871baa5881908c3c0f407b2d82c0 completed May 14, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0587acbf1c819088bae20aa89783eb completed May 14, 2026, 8:28 a.m.
Created at: April 10, 2026, 11:58 a.m.