Triple

T2689367
Position Surface form Disambiguated ID Type / Status
Subject Kate E57561 entity
Predicate relatedName P3889 FINISHED
Object Cate
Cate is a given name, often used as a short form of Catherine or Katherine.
E291184 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: Cate | Statement: [Kate, relatedName, Cate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate
Context triple: [Kate, relatedName, Cate]
  • A. Cailee
    Cailee is a feminine given name most notably borne by American actress Cailee Spaeny.
  • B. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • C. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • D. Ava
    Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
  • E. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • 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: Cate
Triple: [Kate, relatedName, Cate]
Generated description
Cate is a given name, often used as a short form of Catherine or Katherine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cate
Target entity description: Cate is a given name, often used as a short form of Catherine or Katherine.
  • A. Cailee
    Cailee is a feminine given name most notably borne by American actress Cailee Spaeny.
  • B. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • C. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • D. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • E. Ava
    Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f380d48190953529d23688a328 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5e85bc81908ba1b1968cfa440a completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afafddb2a081909b891eed7ba5411d completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb10304488190a1129efae36b3c4e completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:54 p.m.