Triple

T9519664
Position Surface form Disambiguated ID Type / Status
Subject Michael Stuhlbarg E229613 entity
Predicate notableWork P4 FINISHED
Object Lincoln
"Lincoln" is a 2012 historical drama film directed by Steven Spielberg that focuses on President Abraham Lincoln's efforts to pass the Thirteenth Amendment abolishing slavery in the United States.
 E174691 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: [Michael Stuhlbarg, notableWork, Lincoln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lincoln
Context triple: [Michael Stuhlbarg, notableWork, 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 masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
  • E. Lincoln
    Lincoln is a small city in north-central Kansas that serves as the administrative and economic hub of Lincoln County.
  • 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: [Michael Stuhlbarg, notableWork, Lincoln]
Generated description
"Lincoln" is a 2012 historical drama film directed by Steven Spielberg that focuses on President Abraham Lincoln's efforts to pass the Thirteenth Amendment abolishing slavery in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lincoln
Target entity description: "Lincoln" is a 2012 historical drama film directed by Steven Spielberg that focuses on President Abraham Lincoln's efforts to pass the Thirteenth Amendment abolishing slavery in the United States.
  • A. Lincoln chosen
    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.
  • B. Lincoln
    Lincoln is a historic American city in Illinois best known as the namesake of President Abraham Lincoln and for its rich Civil War–era heritage.
  • C. Lincoln
    Lincoln is a masculine given name of English origin most famously associated with U.S. President Abraham Lincoln.
  • D. Lincoln
    Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
  • E. Lincoln
    Lincoln is a common English surname most famously associated with U.S. President Abraham Lincoln and his family.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9883c5c48190a6583921afe9730a completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c0344388190aefc18936b17b9f0 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13c7b2954819096a276e083d4fed1 completed April 4, 2026, 4:29 p.m.
Created at: March 30, 2026, 7:59 p.m.