Triple

T16442743
Position Surface form Disambiguated ID Type / Status
Subject Alfred Hershey E399343 entity
Predicate hasChild P369 FINISHED
Object Peter Hershey
Peter Hershey is the son of Nobel Prize–winning bacteriologist and geneticist Alfred Hershey.
E1212942 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: Peter Hershey | Statement: [Alfred Hershey, hasChild, Peter Hershey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Hershey
Context triple: [Alfred Hershey, hasChild, Peter Hershey]
  • A. Frank Hershey
    Frank Hershey was an American automobile designer best known for his influential work on iconic mid-20th-century car designs, including the original Ford Thunderbird.
  • B. Robert Bacher
    Robert Bacher was an American nuclear physicist and key leader in the Manhattan Project who later became a prominent figure in U.S. science policy and administration.
  • C. Fred Fisher
    Fred Fisher was an American automobile-body manufacturer and entrepreneur best known as a co-founder of the Fisher Body Company, which became a major supplier to General Motors.
  • D. Michael Marks
    Michael Marks was a Polish-born British businessman best known as the co-founder of the major retail chain Marks & Spencer.
  • E. Joseph Hoffman
    Joseph Hoffman was an American screenwriter known for his work on mid-20th-century films and television, including the 1938 movie "For Men Only."
  • 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: Peter Hershey
Triple: [Alfred Hershey, hasChild, Peter Hershey]
Generated description
Peter Hershey is the son of Nobel Prize–winning bacteriologist and geneticist Alfred Hershey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Hershey
Target entity description: Peter Hershey is the son of Nobel Prize–winning bacteriologist and geneticist Alfred Hershey.
  • A. Frank Hershey
    Frank Hershey was an American automobile designer best known for his influential work on iconic mid-20th-century car designs, including the original Ford Thunderbird.
  • B. Robert Bacher
    Robert Bacher was an American nuclear physicist and key leader in the Manhattan Project who later became a prominent figure in U.S. science policy and administration.
  • C. Fred Fisher
    Fred Fisher was an American automobile-body manufacturer and entrepreneur best known as a co-founder of the Fisher Body Company, which became a major supplier to General Motors.
  • D. Michael Marks
    Michael Marks was a Polish-born British businessman best known as the co-founder of the major retail chain Marks & Spencer.
  • E. Joseph Hoffman
    Joseph Hoffman was an American screenwriter known for his work on mid-20th-century films and television, including the 1938 movie "For Men Only."
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.