Triple

T5368947
Position Surface form Disambiguated ID Type / Status
Subject Ingrid E108797 entity
Predicate hasVariantForm P457 FINISHED
Object Ingrida E108797 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: Ingrida | Statement: [Ingrid, hasVariantForm, Ingrida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingrida
Context triple: [Ingrid, hasVariantForm, Ingrida]
  • A. Ingrid chosen
    Ingrid is a feminine given name of Scandinavian origin that has been borne by several notable figures, including the Swedish actress Ingrid Bergman.
  • B. Égly
    Égly is a small commune in the Essonne department of the Île-de-France region in northern France.
  • C. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf292c4d1c819088f7b977ac212688 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.