Triple

T7166885
Position Surface form Disambiguated ID Type / Status
Subject Gwendoline Mary Lacey E167091 entity
Predicate hasMiddleName P143 FINISHED
Object Mary
Mary is the middle name of the fictional character Gwendoline Mary Lacey from Enid Blyton’s Malory Towers series.
 E648589 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: Mary | Statement: [Gwendoline Mary Lacey, hasMiddleName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary
Context triple: [Gwendoline Mary Lacey, hasMiddleName, Mary]
  • A. Mary
    Mary is the given name of Mary Wollstonecraft, the pioneering 18th-century English writer and advocate of women's rights.
  • B. Mary
    Mary is the middle name of Theresa May, the former Prime Minister of the United Kingdom.
  • C. Mary
    Mary I of England was the 16th-century Queen of England and Ireland best known for her attempt to restore Roman Catholicism and for the Marian persecutions that earned her the nickname "Bloody Mary."
  • D. Mary
    Mary is a studio album by Ghanaian rapper Sarkodie, known for its highlife influences and tribute to his late grandmother.
  • E. Mary
    Mary Allerton was a Mayflower passenger and one of the early settlers of Plymouth Colony in 17th-century New England.
  • 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: Mary
Triple: [Gwendoline Mary Lacey, hasMiddleName, Mary]
Generated description
Mary is the middle name of the fictional character Gwendoline Mary Lacey from Enid Blyton’s Malory Towers series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary
Target entity description: Mary is the middle name of the fictional character Gwendoline Mary Lacey from Enid Blyton’s Malory Towers series.
  • A. Mary
    Mary is the given name of Lady Mary Palliser, a fictional aristocratic character from Anthony Trollope’s Palliser novels.
  • B. Mary
    Mary is the middle name of Enid Mary Pollock, an individual about whom limited public information is available.
  • C. Mary
    Mary is the middle name of Katherine Mary Dewar, a component of her full personal name.
  • D. Mary
    Mary is the middle name of Theresa May, the former Prime Minister of the United Kingdom.
  • E. Mary
    Mary is the given name of Mary Sidney, an English Renaissance noblewoman, writer, and literary patron.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85a07388190a07054ef12870fa1 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf84598881908bbe8a18bea18278 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c039bb708190b4ac14e19974774a completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c123c4b48190a76fb869f7abc553 completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:48 p.m.