Triple

T4391161
Position Surface form Disambiguated ID Type / Status
Subject Tachygraphy by Thomas Shelton E99364 entity
Predicate author P4 FINISHED
Object Thomas Shelton
Thomas Shelton was a 17th-century English stenographer best known for developing and publishing influential shorthand systems.
E474124 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: Thomas Shelton | Statement: [Tachygraphy by Thomas Shelton, author, Thomas Shelton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Shelton
Context triple: [Tachygraphy by Thomas Shelton, author, Thomas Shelton]
  • A. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • B. John Milledge
    John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
  • C. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • D. Thomas Bladen
    Thomas Bladen was a colonial-era British official who served as governor of Maryland and lent his name to the town of Bladensburg.
  • E. Henry McDaniel
    Henry McDaniel was the father of Academy Award–winning actress Hattie McDaniel, known primarily in historical records for this parental connection.
  • 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: Thomas Shelton
Triple: [Tachygraphy by Thomas Shelton, author, Thomas Shelton]
Generated description
Thomas Shelton was a 17th-century English stenographer best known for developing and publishing influential shorthand systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Shelton
Target entity description: Thomas Shelton was a 17th-century English stenographer best known for developing and publishing influential shorthand systems.
  • A. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • B. John Milledge
    John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
  • C. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • D. Thomas Bladen
    Thomas Bladen was a colonial-era British official who served as governor of Maryland and lent his name to the town of Bladensburg.
  • E. Henry McDaniel
    Henry McDaniel was the father of Academy Award–winning actress Hattie McDaniel, known primarily in historical records for this parental connection.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352843d7c8190929b94c94eaa63df completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c70e6cc8190b447d3bd1f578aae completed March 21, 2026, 8:53 a.m.
NEDg Description generation batch_69be5eb7a20881909177feb6e969af6c completed March 21, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69be5f1646588190a8d81316fce477db completed March 21, 2026, 9:04 a.m.
Created at: March 12, 2026, 11:19 p.m.