Triple

T8157162
Position Surface form Disambiguated ID Type / Status
Subject John Osborne E190478 entity
Predicate notableWork P4 FINISHED
Object Luther
Luther is a 1961 stage play by British dramatist John Osborne that dramatizes the life and religious struggles of Protestant Reformation leader Martin Luther.
 E717115 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: Luther | Statement: [John Osborne, notableWork, Luther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luther
Context triple: [John Osborne, notableWork, Luther]
  • A. Luther
    Luther is a masculine given name of Germanic origin, most famously borne by civil rights leader Martin Luther King Jr. and R&B singer Luther Vandross.
  • B. Luther
    Luther is a British psychological crime drama television series starring Idris Elba as a brilliant but troubled detective.
  • C. Luther
    Luther is a small town in central Oklahoma, United States, known for its rural character and location along historic Route 66.
  • D. Luther
    Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
  • E. Luther
    Luther is a central criminal-turned-vampire character in the horror film "From Dusk Till Dawn 2: Texas Blood Money."
  • 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: Luther
Triple: [John Osborne, notableWork, Luther]
Generated description
Luther is a 1961 stage play by British dramatist John Osborne that dramatizes the life and religious struggles of Protestant Reformation leader Martin Luther.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luther
Target entity description: Luther is a 1961 stage play by British dramatist John Osborne that dramatizes the life and religious struggles of Protestant Reformation leader Martin Luther.
  • A. Luther
    Luther is a British psychological crime drama television series starring Idris Elba as a brilliant but troubled detective.
  • B. Luther
    Luther is a masculine given name of Germanic origin, most famously borne by civil rights leader Martin Luther King Jr. and R&B singer Luther Vandross.
  • C. Luther
    Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
  • D. Luther
    Luther is a central criminal-turned-vampire character in the horror film "From Dusk Till Dawn 2: Texas Blood Money."
  • E. Luther
    Luther is a small town in central Oklahoma, United States, known for its rural character and location along historic Route 66.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44da14a481909f8d3277762b0e75 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc37113108190901b02fae92764cf completed April 1, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_69ccd81bebf8819081b3c4efa5a9ef93 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.