Triple

T22075177
Position Surface form Disambiguated ID Type / Status
Subject W. G. Grace E545503 entity
Predicate mother P120 FINISHED
Object Martha Grace
Martha Grace was the mother of the famed English cricketer W. G. Grace and a member of the prominent Grace family associated with 19th-century cricket.
 E1519802 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: Martha Grace | Statement: [W. G. Grace, mother, Martha Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martha Grace
Context triple: [W. G. Grace, mother, Martha Grace]
  • A. Martha Julia
    Martha Julia is a Mexican actress best known for her roles in telenovelas, often portraying complex or antagonistic characters.
  • B. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • C. Martha Hudson
    Martha Hudson is an American sprinter who was one of the top female track athletes of her era, notably competing internationally under coach Ed Temple at Tennessee State University.
  • D. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • E. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • 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: Martha Grace
Triple: [W. G. Grace, mother, Martha Grace]
Generated description
Martha Grace was the mother of the famed English cricketer W. G. Grace and a member of the prominent Grace family associated with 19th-century cricket.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martha Grace
Target entity description: Martha Grace was the mother of the famed English cricketer W. G. Grace and a member of the prominent Grace family associated with 19th-century cricket.
  • A. Martha Julia
    Martha Julia is a Mexican actress best known for her roles in telenovelas, often portraying complex or antagonistic characters.
  • B. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • C. Martha Hudson
    Martha Hudson is an American sprinter who was one of the top female track athletes of her era, notably competing internationally under coach Ed Temple at Tennessee State University.
  • D. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • E. Marjorie
    "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b1904881909a1769ce8be39e05 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f0f1c588190915587c3a4377ea3 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a917386dc819099d57b2223106a49 completed May 18, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0a91c6a7188190b20f7295572e8919 completed May 18, 2026, 4:12 a.m.
Created at: April 16, 2026, 8:28 p.m.