Triple

T11571715
Position Surface form Disambiguated ID Type / Status
Subject Kristin Nelson E274401 entity
Predicate marriageEndToMarkTinker P92796 FINISHED
Object 2000 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: 2000 | Statement: [Kristin Nelson, marriageEndToMarkTinker, 2000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageEndToMarkTinker
Context triple: [Kristin Nelson, marriageEndToMarkTinker, 2000]
  • A. endTime (marriage) chosen
    Indicates the point in time at which the marriage relationship is considered to have ended.
  • B. marriageEndedBy
    Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
  • C. marriageEndTimeWithRossKemp
    Indicates the time at which a marriage involving Ross Kemp officially ended.
  • D. marriageResolvedBy
    Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
  • E. marriageEndWithRobertWolders
    Indicates that a person’s marriage ended with Robert Wolders as their spouse at the time of the marriage’s dissolution.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.