Triple

T20281124
Position Surface form Disambiguated ID Type / Status
Subject Mary Emeline Crow E503143 entity
Predicate givenName P17 FINISHED
Object Emeline
Emeline is a feminine given name of French origin, historically used in English-speaking countries.
 E1421563 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: Emeline | Statement: [Mary Emeline Crow, givenName, Emeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emeline
Context triple: [Mary Emeline Crow, givenName, Emeline]
  • A. Emmaline
    Emmaline is a central character in Louise Erdrich’s novel "LaRose," playing a key role in the story’s exploration of family, grief, and cultural identity.
  • B. Eulalie
    Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
  • C. Ellise
    Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
  • D. Adella
    Adella is one of King Triton’s mermaid daughters and a supporting character in Disney’s The Little Mermaid franchise.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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: Emeline
Triple: [Mary Emeline Crow, givenName, Emeline]
Generated description
Emeline is a feminine given name of French origin, historically used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emeline
Target entity description: Emeline is a feminine given name of French origin, historically used in English-speaking countries.
  • A. Emmaline
    Emmaline is a central character in Louise Erdrich’s novel "LaRose," playing a key role in the story’s exploration of family, grief, and cultural identity.
  • B. Eulalie
    Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
  • C. Ellise
    Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
  • D. Adella
    Adella is one of King Triton’s mermaid daughters and a supporting character in Disney’s The Little Mermaid franchise.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a25e5f08190b11cbcbdda42113b completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085a7ac4988190acb54e8316e8010b completed May 16, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a085af42c1c81908c9ee0f84f9a9481 completed May 16, 2026, 11:54 a.m.
Created at: April 16, 2026, 10:38 a.m.