Triple

T10004500
Position Surface form Disambiguated ID Type / Status
Subject Jasmine Tookes E198208 entity
Predicate familyName P18 FINISHED
Object Tookes
Tookes is the surname of American fashion model Jasmine Tookes, known for her work with Victoria’s Secret.
 E835863 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: Tookes | Statement: [Jasmine Tookes, familyName, Tookes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tookes
Context triple: [Jasmine Tookes, familyName, Tookes]
  • A. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • B. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • C. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • D. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • E. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • 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: Tookes
Triple: [Jasmine Tookes, familyName, Tookes]
Generated description
Tookes is the surname of American fashion model Jasmine Tookes, known for her work with Victoria’s Secret.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tookes
Target entity description: Tookes is the surname of American fashion model Jasmine Tookes, known for her work with Victoria’s Secret.
  • A. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • B. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • C. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • D. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • E. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5058a08190b850d30ca0ee8bc8 completed April 5, 2026, 1:57 p.m.
NEDg Description generation batch_69d26b6d52e8819082fed0bfdaf48e4c completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c3d5f2081909bf1a1565b66eca9 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:51 p.m.