Triple

T38290322
Position Surface form Disambiguated ID Type / Status
Subject Amanda E1022341 entity
Predicate hasCharacterImportance P97041 FINISHED
Object primary LITERAL FINISHED

How this triple was built (2 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: primary | Statement: [Amanda, hasCharacterImportance, primary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterImportance
Context triple: [Amanda, hasCharacterImportance, primary]
  • A. isPivotalForCharacter
    Indicates that something plays a crucial, defining role in shaping a character’s development, decisions, or narrative arc.
  • B. dramaticImportance
    Indicates that one entity holds significant narrative or emotional weight or impact in relation to another within a dramatic or storytelling context.
  • C. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • D. hasPrimaryCharacter chosen
    Indicates that an entity features another entity as its main or central character.
  • E. isMostImportant
    Indicates that the referenced entity holds the highest level of importance or priority among a set of entities.
  • F. None of above.

Provenance (3 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_69f76df190f081908d5aa02c8a9286d0 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff53389a0481908b2baeb43c6294f0 completed May 9, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69ff52e2b4b88190b38d160d771fe14b completed May 9, 2026, 3:29 p.m.
Created at: May 3, 2026, 4:30 p.m.