Triple

T7451822
Position Surface form Disambiguated ID Type / Status
Subject Oklahoma County E172024 entity
Predicate contains P35 FINISHED
Object Luther
Luther is a small town in central Oklahoma, United States, known for its rural character and location along historic Route 66.
 E665641 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: [Oklahoma County, contains, Luther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luther
Context triple: [Oklahoma County, contains, 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 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. Martin Luther
    Martin Luther was a 16th-century German theologian and key figure of the Protestant Reformation whose teachings challenged Catholic doctrine and reshaped Western Christianity.
  • 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: [Oklahoma County, contains, Luther]
Generated description
Luther is a small town in central Oklahoma, United States, known for its rural character and location along historic Route 66.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luther
Target entity description: Luther is a small town in central Oklahoma, United States, known for its rural character and location along historic Route 66.
  • 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. Martin Luther
    Martin Luther was a 16th-century German theologian and key figure of the Protestant Reformation whose teachings challenged Catholic doctrine and reshaped Western Christianity.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b9a6048190bd3e3594b9cff2b7 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828e1487081908de825d60ea38c9e completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c829d8a15c8190911e0d7bda39c280 completed March 28, 2026, 7:19 p.m.
Created at: March 27, 2026, 3:14 p.m.