Triple

T5848084
Position Surface form Disambiguated ID Type / Status
Subject Marion E129761 entity
Predicate hasVariantOf P455 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: [Marion, hasVariantOf, Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marian
Context triple: [Marion, hasVariantOf, Marian]
  • A. Marian chosen
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • B. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • C. Joan
    Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • D. Joan
    Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
  • E. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.