Triple

T11804760
Position Surface form Disambiguated ID Type / Status
Subject Maurine Dallas Watkins E280716 entity
Predicate givenName P17 FINISHED
Object Maurine
Maurine is a feminine given name of French origin, derived from "Maur" and often considered a variant of Maureen or a diminutive of Maurice.
 E947992 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: Maurine | Statement: [Maurine Dallas Watkins, givenName, Maurine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maurine
Context triple: [Maurine Dallas Watkins, givenName, Maurine]
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • C. Mildred
    Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
  • D. Maidie
    Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
  • E. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • 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: Maurine
Triple: [Maurine Dallas Watkins, givenName, Maurine]
Generated description
Maurine is a feminine given name of French origin, derived from "Maur" and often considered a variant of Maureen or a diminutive of Maurice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maurine
Target entity description: Maurine is a feminine given name of French origin, derived from "Maur" and often considered a variant of Maureen or a diminutive of Maurice.
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • C. Mildred
    Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
  • D. Maidie
    Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
  • E. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
NEDg Description generation batch_69f14e879aa88190a95f13e23dd346f4 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f156fa5cc48190a43c1d2e5df346fe completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.