Triple

T15192249
Position Surface form Disambiguated ID Type / Status
Subject The Use of Ashes E363044 entity
Predicate hasContributor P4244 FINISHED
Object Jon Tooker
Jon Tooker is an academic researcher, likely in agriculture or ecology, known for contributing scholarly work such as the study titled "The Use of Ashes."
 E1142087 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: Jon Tooker | Statement: [The Use of Ashes, hasContributor, Jon Tooker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jon Tooker
Context triple: [The Use of Ashes, hasContributor, Jon Tooker]
  • A. Tom Troupe
    Tom Troupe is an American character actor known for his work in film, television, and theater since the mid-20th century.
  • B. Tommy Henrich
    Tommy Henrich was an American Major League Baseball outfielder and clutch hitter best known for his years with the New York Yankees in the 1930s and 1940s.
  • C. Tommy Sands
    Tommy Sands is an American pop and rock-and-roll singer and actor who rose to fame in the late 1950s and early 1960s.
  • D. Bobby Ellis
    Bobby Ellis is a student associated with St. Clare's School.
  • E. Gary Puckett
    Gary Puckett is an American pop singer best known as the lead vocalist of Gary Puckett & The Union Gap, a band popular in the late 1960s for hits like "Young Girl."
  • 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: Jon Tooker
Triple: [The Use of Ashes, hasContributor, Jon Tooker]
Generated description
Jon Tooker is an academic researcher, likely in agriculture or ecology, known for contributing scholarly work such as the study titled "The Use of Ashes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jon Tooker
Target entity description: Jon Tooker is an academic researcher, likely in agriculture or ecology, known for contributing scholarly work such as the study titled "The Use of Ashes."
  • A. Tom Troupe
    Tom Troupe is an American character actor known for his work in film, television, and theater since the mid-20th century.
  • B. Tommy Henrich
    Tommy Henrich was an American Major League Baseball outfielder and clutch hitter best known for his years with the New York Yankees in the 1930s and 1940s.
  • C. Tommy Sands
    Tommy Sands is an American pop and rock-and-roll singer and actor who rose to fame in the late 1950s and early 1960s.
  • D. Bobby Ellis
    Bobby Ellis is a student associated with St. Clare's School.
  • E. Gary Puckett
    Gary Puckett is an American pop singer best known as the lead vocalist of Gary Puckett & The Union Gap, a band popular in the late 1960s for hits like "Young Girl."
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69feca98251081909c07f7ba4a863ad8 completed May 9, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69fecb1cc7d08190a77e8a444334b688 completed May 9, 2026, 5:50 a.m.
Created at: April 10, 2026, 3:10 a.m.