Triple

T7534427
Position Surface form Disambiguated ID Type / Status
Subject Joan, Lady of Wales E178110 entity
Predicate mother P120 FINISHED
Object Clemence
Clemence was a medieval noblewoman known primarily as the daughter of Joan, Lady of Wales, and thus a descendant of the Welsh princely line.
 E672538 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: Clemence | Statement: [Joan, Lady of Wales, mother, Clemence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clemence
Context triple: [Joan, Lady of Wales, mother, Clemence]
  • A. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • B. Lucie
    Lucie is a little girl in Beatrix Potter’s children’s story "The Tale of Mrs. Tiggy-Winkle," known for visiting the hedgehog washerwoman in a whimsical countryside adventure.
  • C. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • D. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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: Clemence
Triple: [Joan, Lady of Wales, mother, Clemence]
Generated description
Clemence was a medieval noblewoman known primarily as the daughter of Joan, Lady of Wales, and thus a descendant of the Welsh princely line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clemence
Target entity description: Clemence was a medieval noblewoman known primarily as the daughter of Joan, Lady of Wales, and thus a descendant of the Welsh princely line.
  • A. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • B. Lucie
    Lucie is a little girl in Beatrix Potter’s children’s story "The Tale of Mrs. Tiggy-Winkle," known for visiting the hedgehog washerwoman in a whimsical countryside adventure.
  • C. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84a9d28819084ebfc44fcb2c29c completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b687708190a1fe1351be70616b completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85733c5f481908242a52966fbbd30 completed March 28, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c857a66878819094ee75e9820ded37 completed March 28, 2026, 10:35 p.m.
Created at: March 27, 2026, 3:47 p.m.