Triple

T2466081
Position Surface form Disambiguated ID Type / Status
Subject Jean Toomer E55250 entity
Predicate givenName P17 FINISHED
Object Nathan
Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
 E272627 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: Nathan | Statement: [Jean Toomer, givenName, Nathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nathan
Context triple: [Jean Toomer, givenName, Nathan]
  • A. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • B. Nathan
    Nathan is the central character of Gotthold Ephraim Lessing’s play "Nathan the Wise," portrayed as a wise and compassionate Jewish merchant who advocates religious tolerance and humanism.
  • C. Nate
    Nate is the Allied reporting name for the Nakajima Ki-27, a Japanese single-engine fighter aircraft used extensively by the Imperial Japanese Army Air Service in the late 1930s and early World War II.
  • D. Nate
    Nate is a central fictional character in Margaret Atwood’s novel "Life Before Man," around whom much of the story’s emotional and relational tension revolves.
  • E. Nate
    Nate is a common diminutive form of the given name Nathaniel, often used as a casual or familiar nickname.
  • 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: Nathan
Triple: [Jean Toomer, givenName, Nathan]
Generated description
Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nathan
Target entity description: Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
  • A. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • B. Nathan
    Nathan is the central character of Gotthold Ephraim Lessing’s play "Nathan the Wise," portrayed as a wise and compassionate Jewish merchant who advocates religious tolerance and humanism.
  • C. Nate
    Nate is a central fictional character in Margaret Atwood’s novel "Life Before Man," around whom much of the story’s emotional and relational tension revolves.
  • D. Nate
    Nate is the Allied reporting name for the Nakajima Ki-27, a Japanese single-engine fighter aircraft used extensively by the Imperial Japanese Army Air Service in the late 1930s and early World War II.
  • E. Nate
    Nate is a common diminutive form of the given name Nathaniel, often used as a casual or familiar nickname.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd122db8881909ef3c0a1df7ff7a5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f84e1a481908fa67498f2bd1984 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af201e1a748190905bb221fc5dd01e completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af20ad25588190b8e26e82baba731d completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:44 p.m.