Triple

T18854957
Position Surface form Disambiguated ID Type / Status
Subject The Elves of Cintra E461146 entity
Predicate mainCharacter P1183 FINISHED
Object Catalya
Catalya is the central elven protagonist from Cintra, around whom the story’s key events and conflicts revolve.
 E1345102 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: Catalya | Statement: [The Elves of Cintra, mainCharacter, Catalya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catalya
Context triple: [The Elves of Cintra, mainCharacter, Catalya]
  • A. Doliana
    Doliana is a village in the municipality of North Kynouria in the Arcadia regional unit of the Peloponnese, Greece.
  • B. Elenitsa
    Elenitsa is a Greek feminine given name, used as an affectionate diminutive form of Eleni.
  • C. Cahita
    Cahita is a branch of the Uto-Aztecan language family that historically encompassed several closely related indigenous languages of northwestern Mexico, including Mayo and Yaqui.
  • D. Laety
    Laety is a short form or nickname derived from the given name Laetitia, often used in informal or affectionate contexts.
  • E. Atilia
    Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
  • 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: Catalya
Triple: [The Elves of Cintra, mainCharacter, Catalya]
Generated description
Catalya is the central elven protagonist from Cintra, around whom the story’s key events and conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catalya
Target entity description: Catalya is the central elven protagonist from Cintra, around whom the story’s key events and conflicts revolve.
  • A. Doliana
    Doliana is a village in the municipality of North Kynouria in the Arcadia regional unit of the Peloponnese, Greece.
  • B. Elenitsa
    Elenitsa is a Greek feminine given name, used as an affectionate diminutive form of Eleni.
  • C. Cahita
    Cahita is a branch of the Uto-Aztecan language family that historically encompassed several closely related indigenous languages of northwestern Mexico, including Mayo and Yaqui.
  • D. Laety
    Laety is a short form or nickname derived from the given name Laetitia, often used in informal or affectionate contexts.
  • E. Atilia
    Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05c16e88190a08b6a8b94e1c9f9 completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05677b705c81908bdf6a7bbbb67277 completed May 14, 2026, 6:11 a.m.
NEDg Description generation batch_6a05691c2e8c81908ec65273d8e2f7bd completed May 14, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0569a782c08190b7b09f2926160bbf completed May 14, 2026, 6:20 a.m.
Created at: April 10, 2026, 11:57 a.m.