Triple

T36867795
Position Surface form Disambiguated ID Type / Status
Subject General Spielsdorf E911132 entity
Predicate nieceVictim P186602 FINISHED
Object Bertha
Bertha is the ill-fated niece of General Spielsdorf in Sheridan Le Fanu’s Gothic vampire novella "Carmilla."
 E2204506 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: Bertha | Statement: [General Spielsdorf, nieceVictim, Bertha]
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: Bertha
Triple: [General Spielsdorf, nieceVictim, Bertha]
Generated description
Bertha is the ill-fated niece of General Spielsdorf in Sheridan Le Fanu’s Gothic vampire novella "Carmilla."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nieceVictim
Context triple: [General Spielsdorf, nieceVictim, Bertha]
  • A. coVictim
    Indicates that two or more entities are victims in the same harmful event or incident.
  • B. victimHeirTo
    Indicates that the victim is the legal heir or inheritor of another person involved in the event or relationship.
  • C. victimWas
    Indicates that one entity was the victim of an action, event, or harmful behavior carried out by another entity.
  • D. allegedVictimOf
    Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
  • E. isVictimOf
    Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
  • F. None of above. chosen

Provenance (7 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fe1a1ca4819084c196f0041f0be2 completed May 5, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c2496e88190ba56462dcde53d88 completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2cf5b99c8190b0f2573e57f9d5d7 completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e43348bd88190bd7b9886e07e2a65 completed June 26, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
PDg Predicate description generation batch_69f9fd66eed48190bdc26a8def328c2d completed May 5, 2026, 2:23 p.m.
Created at: May 3, 2026, 4:13 p.m.