Triple

T1851834
Position Surface form Disambiguated ID Type / Status
Subject Henrietta FitzJames E41611 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 FitzJames, givenName, Henrietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrietta
Context triple: [Henrietta FitzJames, 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. Mariette
    Mariette is a French feminine given name, commonly used as a diminutive or affectionate form of Marie.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. 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.
  • E. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06829b081908767b3df5524c7d4 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c81f2c81908339f6a1d1987631 completed March 8, 2026, 7:11 p.m.
Created at: March 4, 2026, 7:33 p.m.