Triple

T2137134
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Godolphin, 2nd Duchess of Marlborough E46679 entity
Predicate givenName P17 FINISHED
Object Henrietta E77681 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: Henrietta | Statement: [Henrietta Godolphin, 2nd Duchess of Marlborough, givenName, Henrietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrietta
Context triple: [Henrietta Godolphin, 2nd Duchess of Marlborough, givenName, Henrietta]
  • A. Henrietta chosen
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • B. Henriette
    Henriette is the given first name of the French photographer and painter Dora Maar, renowned for her association with Pablo Picasso and the Surrealist movement.
  • C. Mariette
    Mariette is a French feminine given name, commonly used as a diminutive or affectionate form of Marie.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Oona
    Oona O’Neill was an American socialite and actress best known as the fourth wife of legendary filmmaker Charlie Chaplin and the daughter of playwright Eugene O’Neill.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdff9254819094d27405478e29a0 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51af1e708190b63418da77776084 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.