Triple

T6957682
Position Surface form Disambiguated ID Type / Status
Subject Wiley College E161286 entity
Predicate city P40 FINISHED
Object Marshall
Marshall is a small East Texas city known for its historic architecture, role in the Civil War era, and cultural institutions such as Wiley College.
 E631239 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: Marshall | Statement: [Wiley College, city, Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marshall
Context triple: [Wiley College, city, Marshall]
  • A. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • B. Marshall
    Marshall is the enthusiastic Dalmatian fire-pup and medic from the PAW Patrol franchise, known for his clumsiness, big heart, and heroic rescues.
  • C. Marshall
    Marshall is a 2017 biographical legal drama film about a young Thurgood Marshall, directed by Reginald Hudlin and starring Chadwick Boseman.
  • D. Warren
    Warren "Baby" Dodds was an influential early jazz drummer known for his pioneering work in New Orleans and Chicago jazz.
  • E. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • 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: Marshall
Triple: [Wiley College, city, Marshall]
Generated description
Marshall is a small East Texas city known for its historic architecture, role in the Civil War era, and cultural institutions such as Wiley College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marshall
Target entity description: Marshall is a small East Texas city known for its historic architecture, role in the Civil War era, and cultural institutions such as Wiley College.
  • A. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • B. Marshall
    Marshall is the enthusiastic Dalmatian fire-pup and medic from the PAW Patrol franchise, known for his clumsiness, big heart, and heroic rescues.
  • C. Marshall
    Marshall is a 2017 biographical legal drama film about a young Thurgood Marshall, directed by Reginald Hudlin and starring Chadwick Boseman.
  • D. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • E. Warren
    Warren is a central character in Robert Frost's narrative poem "The Death of the Hired Man," depicted as a New England farmer whose conflicted sense of duty and forgiveness shapes the story's moral tension.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad0e52081908b524dc6a66bab01 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7588e2c5c8190a66a0205f3c2bf99 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c7598d785881909a79ec6be6546a1c completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c75a0b33788190a120c42f901ac56e completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:29 p.m.