Triple

T19015073
Position Surface form Disambiguated ID Type / Status
Subject Hans Luther E465325 entity
Predicate familyName P18 FINISHED
Object Luther
Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
E301959 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: [Hans Luther, familyName, Luther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luther
Context triple: [Hans Luther, familyName, 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 1961 stage play by British dramatist John Osborne that dramatizes the life and religious struggles of Protestant Reformation leader Martin Luther.
  • D. Luther
    Luther is the hyper-intense, overprotective "anger translator" character played by Keegan-Michael Key on the sketch comedy show Key & Peele, best known for comically voicing the unspoken frustrations of President Obama.
  • E. Luther
    Luther is a prominent, unhinged gang leader and primary antagonist in the 1979 cult classic action film "The Warriors."
  • 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: [Hans Luther, familyName, Luther]
Generated description
Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luther
Target entity description: Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
  • A. Luther chosen
    Luther is a common German surname most famously associated with the Protestant Reformer Martin Luther and his family.
  • 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 1961 stage play by British dramatist John Osborne that dramatizes the life and religious struggles of Protestant Reformation leader Martin Luther.
  • D. Luther
    Luther is a music album by American hip-hop producer Lazerbeak, showcasing his distinctive, genre-blending production style.
  • 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.

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6d9f2a081908c0e923809da88e2 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be4e6e048190b5b0050b90a4ce04 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf11e17c81909ccc56bd6337d524 completed May 14, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05bf9b18788190aae5a577b8f725fc completed May 14, 2026, 12:27 p.m.
Created at: April 10, 2026, 12:02 p.m.