Triple

T26212716
Position Surface form Disambiguated ID Type / Status
Subject Alphonse Frankenstein E655529 entity
Predicate rescuesFromPoverty P95565 FINISHED
Object Caroline Beaufort NE NERFINISHED

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: Caroline Beaufort | Statement: [Alphonse Frankenstein, rescuesFromPoverty, Caroline Beaufort]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rescuesFromPoverty
Context triple: [Alphonse Frankenstein, rescuesFromPoverty, Caroline Beaufort]
  • A. rescuesFrom chosen
    Indicates that one entity saves or frees another entity from a dangerous, harmful, or undesirable situation or source.
  • B. rescuesWith
    Indicates that one entity saves or frees another entity from danger, harm, or captivity using a particular means, tool, or method.
  • C. rescuedTo
    Indicates that one entity has been saved or freed from danger, harm, or a problematic situation and brought to the safety or custody of another entity or location.
  • D. rescuesContext
    Indicates that one entity saves or delivers another entity from danger, harm, or a problematic situation within a specific contextual setting.
  • E. recoveredWithAidFrom
    Indicates that an entity returned to a prior or improved state (such as health, function, or condition) as a result of assistance, intervention, or support from another entity.
  • 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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d1804548190ab0bba3376f28269 completed May 2, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69f5b007ec1c819092e2c3605933f60b completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 8:53 p.m.