Triple

T5950782
Position Surface form Disambiguated ID Type / Status
Subject Harry Dent E132391 entity
Predicate givenName P17 FINISHED
Object Harry
Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
 E560314 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 Dent, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harry
Context triple: [Harry Dent, 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 Dent, givenName, Harry]
Generated description
Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harry
Target entity description: Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
  • A. Harry
    Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
  • B. Harry
    Harry is the given name of Harry Nilsson, the influential American singer-songwriter known for hits like "Without You" and "Everybody's Talkin'."
  • C. Harry
    Harry is the given name of Harry M. Wegeforth, an American physician and founder of the San Diego Zoo.
  • 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 A. Blackmun, an American jurist who served as an Associate Justice of the U.S. Supreme Court.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03981d88c8190838998494ad50a19 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3cb29f8819095d44ae3ad193fb2 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0fab383f88190b18c55bf3704f3a4 completed March 23, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69c0fdefa0d8819087adf1d41d9d9fe2 completed March 23, 2026, 8:46 a.m.
Created at: March 22, 2026, 4:02 p.m.