Triple

T9318611
Position Surface form Disambiguated ID Type / Status
Subject Harry Kurnitz E224186 entity
Predicate givenName P17 FINISHED
Object Harry
Harry is the given name of Harry Kurnitz, an American playwright, screenwriter, and mystery novelist active in the mid-20th century.
 E791818 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: Harry | Statement: [Harry Kurnitz, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harry
Context triple: [Harry Kurnitz, givenName, Harry]
  • A. Harry
    Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
  • B. Harry
    Harry is the given first name of the famed American singer and actor Bing Crosby.
  • C. Harry
    Harry is the given name of Harry Augustus Garfield, an American lawyer, academic, and public official who served as the first head of the U.S. Fuel Administration during World War I.
  • D. Harry
    Harry is the given name of the famed American baseball broadcaster Harry Caray, known for his exuberant announcing style and long association with the Chicago Cubs.
  • E. Harry
    Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
  • 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: Harry
Triple: [Harry Kurnitz, givenName, Harry]
Generated description
Harry is the given name of Harry Kurnitz, an American playwright, screenwriter, and mystery novelist active in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harry
Target entity description: Harry is the given name of Harry Kurnitz, an American playwright, screenwriter, and mystery novelist active in the mid-20th century.
  • A. Harry
    Harry is the given name of American character actor and musician Harry Dean Stanton, known for his distinctive roles in film and television.
  • B. Harry
    Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
  • C. Harry
    Harry is the given name of Harry Nilsson, the influential American singer-songwriter known for hits like "Without You" and "Everybody's Talkin'."
  • D. Harry
    Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
  • E. Harry
    Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0ca049fdc819091e101d8cdcfb7e8 completed April 4, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc6239108190b921eface5cdd543 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.