Triple

T15621866
Position Surface form Disambiguated ID Type / Status
Subject Flags in the Dust E375575 entity
Predicate hasFictionalTown P21117 FINISHED
Object Jefferson
Jefferson is the fictional Mississippi town created by William Faulkner that serves as the central setting for many of his Yoknapatawpha County stories and novels.
 E375574 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: Jefferson | Statement: [Flags in the Dust, hasFictionalTown, Jefferson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jefferson
Context triple: [Flags in the Dust, hasFictionalTown, Jefferson]
  • A. Jefferson
    Jefferson is the first name of Jefferson Davis, a Marvel Comics character best known as the father of Miles Morales, one of the heroes to take on the Spider-Man mantle.
  • B. Jefferson
    Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
  • C. Jefferson
    Jefferson is a domestic cat known by the given name "Jefferson."
  • D. Jefferson
    Jefferson is a prominent American surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
  • E. Jefferson
    Jefferson is a small rural community located within Cardston County in southern Alberta, Canada.
  • 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: Jefferson
Triple: [Flags in the Dust, hasFictionalTown, Jefferson]
Generated description
Jefferson is the fictional Mississippi town created by William Faulkner that serves as the central setting for many of his Yoknapatawpha County stories and novels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jefferson
Target entity description: Jefferson is the fictional Mississippi town created by William Faulkner that serves as the central setting for many of his Yoknapatawpha County stories and novels.
  • A. Jefferson chosen
    Jefferson is the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
  • B. Jefferson
    Jefferson is a small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
  • C. Jefferson
    Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
  • D. Jefferson
    Jefferson is a small rural community located within Cardston County in southern Alberta, Canada.
  • E. Jefferson
    Jefferson is the given name of Jefferson C. Davis, a controversial American military officer who served as a Union general during the Civil War.
  • F. None of above.

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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ece07608190a705f108c8c2979a completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6fb61144819085460226d406161d completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff705b1ea08190bf08b99c19715e57 completed May 9, 2026, 5:35 p.m.
Created at: April 10, 2026, 4:13 a.m.