Triple

T3284974
Position Surface form Disambiguated ID Type / Status
Subject Lincoln Burrows E68958 entity
Predicate givenName P17 FINISHED
Object Lincoln
Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
 E346042 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: Lincoln | Statement: [Lincoln Burrows, givenName, Lincoln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lincoln
Context triple: [Lincoln Burrows, givenName, Lincoln]
  • A. Lincoln
    Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
  • B. Lincoln
    Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
  • C. Lincoln
    Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
  • D. Lincoln
    Lincoln is a suburban town in Providence County, Rhode Island, known for its historic mill villages, residential neighborhoods, and recreational areas such as Lincoln Woods State Park.
  • E. Lincoln
    Lincoln is a 2012 historical drama film directed by Steven Spielberg that focuses on U.S. President Abraham Lincoln’s efforts to pass the Thirteenth Amendment abolishing slavery.
  • 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: Lincoln
Triple: [Lincoln Burrows, givenName, Lincoln]
Generated description
Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lincoln
Target entity description: Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
  • A. Lincoln
    Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
  • B. Lincoln
    Lincoln is a 2012 historical drama film directed by Steven Spielberg that focuses on U.S. President Abraham Lincoln’s efforts to pass the Thirteenth Amendment abolishing slavery.
  • C. Lincoln
    Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
  • D. Lincoln
    Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
  • E. Lincoln
    Lincoln is a historic cathedral city in the East Midlands of England, renowned for its medieval architecture, including Lincoln Cathedral and Lincoln Castle.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0377c9c819089af47952946de52 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cd5f508190ac5abc2dcdf0957d completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2fa5bd7f88190b24377e38f49371b completed March 12, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69b309509ab0819083ed192402866470 completed March 12, 2026, 6:43 p.m.
Created at: March 8, 2026, 3:10 p.m.