Triple

T34891989
Position Surface form Disambiguated ID Type / Status
Subject Lisbeth Salander E1006310 entity
Predicate fictionalTwinSibling P88705 FINISHED
Object Camilla Salander
Camilla Salander is a character in Stieg Larsson’s Millennium series, known as Lisbeth Salander’s contrasting twin who embraces a more conventional and manipulative lifestyle.
 E2118812 NE FINISHED

How this triple was built (3 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: Camilla Salander | Statement: [Lisbeth Salander, fictionalTwinSibling, Camilla Salander]
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: Camilla Salander
Triple: [Lisbeth Salander, fictionalTwinSibling, Camilla Salander]
Generated description
Camilla Salander is a character in Stieg Larsson’s Millennium series, known as Lisbeth Salander’s contrasting twin who embraces a more conventional and manipulative lifestyle.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fictionalTwinSibling
Context triple: [Lisbeth Salander, fictionalTwinSibling, Camilla Salander]
  • A. isFictionalTwinOf chosen
    Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
  • B. fictionalHalfSibling
    Indicates that one entity is considered a half-sibling of another within a fictional or narrative context, sharing one parent in the story’s canon.
  • C. fictionalBrother
    Indicates that one entity is the brother of another within a fictional or imagined context.
  • D. hasFictionalSibling
    Indicates that one entity is a fictional character who is a sibling of another entity.
  • E. fictionalCounterpartIn
    Indicates that one entity serves as a fictional analogue or stand-in for another entity within a specified work or fictional universe.
  • F. None of above.

Provenance (6 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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fed48d8e148190a99c0aea29f8a3ee completed May 9, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8a9e5a081908723e2fe55fce767 completed June 21, 2026, 9:02 a.m.
NEDg Description generation batch_6a37aa4114108190a96aa42c2fb45353 completed June 21, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a37aaf6c8308190a6ec8e776fce2a38 completed June 21, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69fed3c82a24819095e614e31ac0307f completed May 9, 2026, 6:27 a.m.
Created at: May 3, 2026, 4 p.m.