Triple

T33218115
Position Surface form Disambiguated ID Type / Status
Subject Archduke Albrecht Franz of Austria-Teschen E850341 entity
Predicate marriageOrderWithIreneDoraLelbach P192793 FINISHED
Object first marriage 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: first marriage | Statement: [Archduke Albrecht Franz of Austria-Teschen, marriageOrderWithIreneDoraLelbach, first marriage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithIreneDoraLelbach
Context triple: [Archduke Albrecht Franz of Austria-Teschen, marriageOrderWithIreneDoraLelbach, first marriage]
  • A. marriageOrderWithDorisDay
    Indicates the ordinal position in which someone married Doris Day relative to her other spouses.
  • B. marriageOrderWithBelaLugosi
    Indicates the chronological order in which an entity entered into marriage with Bela Lugosi.
  • C. marriageOrderToBelaLugosi
    Indicates the sequence or ranking of a person’s marriage in relation to their marriage to Bela Lugosi.
  • D. marriageOrderWithJuliaTheElder
    Indicates the sequence or arrangement of marriages involving Julia the Elder in relation to other spouses or partners.
  • E. marriageOrderWithBorisKarloff
    Indicates the sequence or ordinal position in which an entity married Boris Karloff relative to his other spouses.
  • 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_69f3496083dc8190b229bb6932dc548b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
PDg Predicate description generation batch_69fd2a2095f88190bfcbcb2973516ffc completed May 8, 2026, 12:11 a.m.
Created at: May 1, 2026, 1:30 a.m.