Triple

T9666131
Position Surface form Disambiguated ID Type / Status
Subject Fanny Brawne E233708 entity
Predicate causeOfNonMarriage P89491 FINISHED
Object death of John Keats 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: death of John Keats | Statement: [Fanny Brawne, causeOfNonMarriage, death of John Keats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfNonMarriage
Context triple: [Fanny Brawne, causeOfNonMarriage, death of John Keats]
  • A. reasonForShamMarriage
    Indicates that one entity is the underlying motive or justification for another entity entering into a sham (fraudulent or non-genuine) marriage.
  • B. politicalPurposeOfMarriage
    Indicates that a marriage is entered into or used primarily for political objectives, such as gaining power, forming alliances, or influencing governance.
  • C. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • D. consequenceOfMarriageWithoutConsent
    Indicates that something occurs as a result of entering into a marriage that was conducted without the required consent.
  • E. hasAttitudeTowardMarriage
    Indicates that an entity holds a particular opinion, feeling, or stance regarding the institution or concept of marriage.
  • F. None of above. chosen

Provenance (4 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd9408c848190b84dd74d87f76273 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:14 p.m.