Triple

T8968450
Position Surface form Disambiguated ID Type / Status
Subject Louella Carver Dirksen E214198 entity
Predicate givenName P17 FINISHED
Object Louella
Louella is a feminine given name of English origin, often considered a combination of "Louise" and "Ella."
E769641 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: Louella | Statement: [Louella Carver Dirksen, givenName, Louella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louella
Context triple: [Louella Carver Dirksen, givenName, Louella]
  • A. Hildy Johnson
    Hildy Johnson is the fast-talking, ambitious newspaper reporter at the center of the classic newsroom comedy "The Front Page."
  • B. Hildy Parks
    Hildy Parks was an American actress and television writer known for her work on stage, screen, and in creating and writing award shows.
  • C. Hedda Hopper
    Hedda Hopper was a prominent American gossip columnist and former actress, notorious for her influential and often fearsome Hollywood gossip column during the mid-20th century.
  • D. Hildy Beyeler
    Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
  • E. Wanda Hutchins
    Wanda Hutchins is a German-born interior designer and the first wife of former NFL star and television personality Michael Strahan.
  • 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: Louella
Triple: [Louella Carver Dirksen, givenName, Louella]
Generated description
Louella is a feminine given name of English origin, often considered a combination of "Louise" and "Ella."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louella
Target entity description: Louella is a feminine given name of English origin, often considered a combination of "Louise" and "Ella."
  • A. Hildy Johnson
    Hildy Johnson is the fast-talking, ambitious newspaper reporter at the center of the classic newsroom comedy "The Front Page."
  • B. Hildy Parks
    Hildy Parks was an American actress and television writer known for her work on stage, screen, and in creating and writing award shows.
  • C. Hedda Hopper
    Hedda Hopper was a prominent American gossip columnist and former actress, notorious for her influential and often fearsome Hollywood gossip column during the mid-20th century.
  • D. Hildy Beyeler
    Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
  • E. Wanda Hutchins
    Wanda Hutchins is a German-born interior designer and the first wife of former NFL star and television personality Michael Strahan.
  • F. None of above. chosen

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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95cbc4c8190a3ac582f735eeb35 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca41aed08190a5107597625e4b61 completed April 3, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69cfcaba165081908c7bbfb905356942 completed April 3, 2026, 2:12 p.m.
Created at: March 30, 2026, 7:01 p.m.