Triple

T2425501
Position Surface form Disambiguated ID Type / Status
Subject Cane E53515 entity
Predicate containsWork P2011 FINISHED
Object "Karintha"
"Karintha" is a lyrical vignette in Jean Toomer's modernist work *Cane* that portrays the life and early sexualization of a young Black girl in the rural American South.
 E265860 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: "Karintha" | Statement: [Cane, containsWork, "Karintha"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Karintha"
Context triple: [Cane, containsWork, "Karintha"]
  • A. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • B. Karlani
    Karlani is one of the principal Pashtun tribal confederations, encompassing numerous tribes primarily located in eastern Afghanistan and northwestern Pakistan.
  • C. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • D. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • 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: "Karintha"
Triple: [Cane, containsWork, "Karintha"]
Generated description
"Karintha" is a lyrical vignette in Jean Toomer's modernist work *Cane* that portrays the life and early sexualization of a young Black girl in the rural American South.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Karintha"
Target entity description: "Karintha" is a lyrical vignette in Jean Toomer's modernist work *Cane* that portrays the life and early sexualization of a young Black girl in the rural American South.
  • A. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • B. Karlani
    Karlani is one of the principal Pashtun tribal confederations, encompassing numerous tribes primarily located in eastern Afghanistan and northwestern Pakistan.
  • C. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • D. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec2e4fee481909704d329ad92f4ad completed March 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69aec39bb6a4819084652814e18f60d4 completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:42 p.m.