Triple

T14384375
Position Surface form Disambiguated ID Type / Status
Subject Mercédès E356684 entity
Predicate marriageDecisionMotivation P114024 FINISHED
Object security for herself and her family 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: security for herself and her family | Statement: [Mercédès, marriageDecisionMotivation, security for herself and her family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageDecisionMotivation
Context triple: [Mercédès, marriageDecisionMotivation, security for herself and her family]
  • A. causeOfNonMarriage
    Indicates the reason or factor that prevents or has prevented two entities from being married to each other.
  • B. reasonForShamMarriage
    Indicates that one entity is the underlying motive or justification for another entity entering into a sham (fraudulent or non-genuine) marriage.
  • C. asksToMarry
    Indicates that one entity proposes marriage to another, requesting that they become spouses.
  • D. marriageSignificance
    Indicates the importance, impact, or meaningfulness that a marriage holds within a given context or for the entities involved.
  • E. politicalPurposeOfMarriage
    Indicates that a marriage is entered into or used primarily for political objectives, such as gaining power, forming alliances, or influencing governance.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
PDg Predicate description generation batch_69de2e08b6c08190bb4c929deab236a6 completed April 14, 2026, 12:07 p.m.
Created at: April 10, 2026, 1:16 a.m.