Triple

T4358372
Position Surface form Disambiguated ID Type / Status
Subject Grace Toof E98605 entity
Predicate familyName P18 FINISHED
Object Toof
Toof is a surname most notably associated with individuals such as Grace Toof.
 E432981 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: Toof | Statement: [Grace Toof, familyName, Toof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toof
Context triple: [Grace Toof, familyName, Toof]
  • A. Toogoom
    Toogoom is a small coastal town in Queensland, Australia, known for its quiet beaches and relaxed seaside lifestyle within the Fraser Coast area.
  • B. Tio
    Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
  • C. Toon
    Toon is the popular nickname for Newcastle United Football Club and its supporters, especially associated with the club’s strong local identity in Newcastle upon Tyne.
  • D. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • E. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • 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: Toof
Triple: [Grace Toof, familyName, Toof]
Generated description
Toof is a surname most notably associated with individuals such as Grace Toof.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toof
Target entity description: Toof is a surname most notably associated with individuals such as Grace Toof.
  • A. Toogoom
    Toogoom is a small coastal town in Queensland, Australia, known for its quiet beaches and relaxed seaside lifestyle within the Fraser Coast area.
  • B. Tio
    Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
  • C. Toon
    Toon is the popular nickname for Newcastle United Football Club and its supporters, especially associated with the club’s strong local identity in Newcastle upon Tyne.
  • D. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • E. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c7fa1881908bdc844a7142eb65 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbcb6188190a8a4da6a080f0d61 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc7763488190b056ba759ac9fa73 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd07854c8190ac55586d245028a6 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.