Triple

T12676457
Position Surface form Disambiguated ID Type / Status
Subject Marianus E302823 entity
Predicate derivedFrom P909 FINISHED
Object Marian E62460 NE 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: Marian | Statement: [Marianus, derivedFrom, Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marian
Context triple: [Marianus, derivedFrom, Marian]
  • A. Marian chosen
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • B. Marian
    Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
  • C. Marjory
    Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
  • D. Mary Dole
    Mary Dole is a person notable enough to be recognized as a bearer of the surname Dole, though specific widely known biographical details about her are not clearly established.
  • E. Mariann
    Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a341288190822fae2469efea09 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.