Triple

T12062982
Position Surface form Disambiguated ID Type / Status
Subject Almira Russell Hancock E287219 entity
Predicate givenName P17 FINISHED
Object Almira
Almira is a feminine given name of Latin origin, often considered a variant of Elmira and used in various cultures.
 E239332 NE FINISHED

How this triple was built (4 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: Almira | Statement: [Almira Russell Hancock, givenName, Almira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Almira
Context triple: [Almira Russell Hancock, givenName, Almira]
  • A. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • B. Ferminia
    Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
  • C. Geraldene
    Geraldene is a feminine given name, typically considered a variant spelling of Geraldine.
  • D. Willemina
    Willemina is a feminine given name of Dutch origin, historically borne by figures such as Willemina Jacoba van Gogh, the sister of painter Vincent van Gogh.
  • E. Miss Almira Gulch
    Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Almira
Triple: [Almira Russell Hancock, givenName, Almira]
Generated description
Almira is a feminine given name of Latin origin, often considered a variant of Elmira and used in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Almira
Target entity description: Almira is a feminine given name of Latin origin, often considered a variant of Elmira and used in various cultures.
  • A. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • B. Ferminia
    Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
  • C. Geraldene
    Geraldene is a feminine given name, typically considered a variant spelling of Geraldine.
  • D. Willemina
    Willemina is a feminine given name of Dutch origin, historically borne by figures such as Willemina Jacoba van Gogh, the sister of painter Vincent van Gogh.
  • E. Miss Almira Gulch chosen
    Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
  • F. None of above.

Provenance (5 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:48 p.m.