Triple

T7758287
Position Surface form Disambiguated ID Type / Status
Subject Times Union E175952 entity
Predicate foundedBy P104 FINISHED
Object Franklin Keeler
Franklin Keeler was the founder of the Times Union newspaper.
E692481 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: Franklin Keeler | Statement: [Times Union, foundedBy, Franklin Keeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin Keeler
Context triple: [Times Union, foundedBy, Franklin Keeler]
  • A. Franklin Sousley
    Franklin Sousley was a United States Marine and one of the six flag raisers on Iwo Jima during World War II, whose story is prominently depicted in the film "Flags of Our Fathers."
  • B. Franklin Rood
    Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
  • C. Leo Farley
    Leo Farley is a central character in the crime drama series "Under Suspicion," involved in the show's intricate investigations and moral ambiguities.
  • D. Franklin Pangborn
    Franklin Pangborn was an American character actor best known for his comedic portrayals of fussy, fastidious, and often flustered gentlemen in numerous Hollywood films of the 1930s and 1940s.
  • E. Ward McAllister
    Ward McAllister was a prominent 19th-century New York social arbiter best known for codifying the rules of high society and helping define the elite circle known as "The Four Hundred."
  • 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: Franklin Keeler
Triple: [Times Union, foundedBy, Franklin Keeler]
Generated description
Franklin Keeler was the founder of the Times Union newspaper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Franklin Keeler
Target entity description: Franklin Keeler was the founder of the Times Union newspaper.
  • A. Franklin Sousley
    Franklin Sousley was a United States Marine and one of the six flag raisers on Iwo Jima during World War II, whose story is prominently depicted in the film "Flags of Our Fathers."
  • B. Franklin Rood
    Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
  • C. Leo Farley
    Leo Farley is a central character in the crime drama series "Under Suspicion," involved in the show's intricate investigations and moral ambiguities.
  • D. Franklin Pangborn
    Franklin Pangborn was an American character actor best known for his comedic portrayals of fussy, fastidious, and often flustered gentlemen in numerous Hollywood films of the 1930s and 1940s.
  • E. Ward McAllister
    Ward McAllister was a prominent 19th-century New York social arbiter best known for codifying the rules of high society and helping define the elite circle known as "The Four Hundred."
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703dcb26881909d72a280108864bf completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca392955f081909deeeae20822adc0 completed March 30, 2026, 8:49 a.m.
NEDg Description generation batch_69ca3a1f24648190b819e07c465dfc68 completed March 30, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_69ca3a9ace4c8190811bcaa1697b28be completed March 30, 2026, 8:55 a.m.
Created at: March 27, 2026, 4:09 p.m.