Triple

T21961577
Position Surface form Disambiguated ID Type / Status
Subject María E542342 entity
Predicate hasVariant P455 FINISHED
Object Marie
Marie is a feminine given name of French origin, widely used across many languages and cultures as a form of Mary.
 E27948 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: Marie | Statement: [María, hasVariant, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marie
Context triple: [María, hasVariant, Marie]
  • A. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
  • D. Marie
    "Marie" is a popular jazz and big band standard composed by Thomas "Tommy" Dorsey that became one of his signature recordings.
  • E. Marie
    Marie is one of the Squid Sisters, a popular idol duo from Nintendo’s Splatoon series known for hosting in-game news and events.
  • 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: Marie
Triple: [María, hasVariant, Marie]
Generated description
Marie is a feminine given name of French origin, widely used across many languages and cultures as a form of Mary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marie
Target entity description: Marie is a feminine given name of French origin, widely used across many languages and cultures as a form of Mary.
  • A. Marie chosen
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    Marie is the middle name of Reilly Marie Anspaugh.
  • D. Marie
    Marie is a small mountain village in the Alpes-Maritimes department of southeastern France, known for its picturesque setting in the Tinée Valley of the French Alps.
  • E. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124572738819098cc669aafa53cc6 completed April 28, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a670eb56081909fad6bbca91835c6 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67a1c82881909f71e24139576c31 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68583248819085f413692d35c1b9 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 8 p.m.