Triple

T15073080
Position Surface form Disambiguated ID Type / Status
Subject Harry Bosch E379930 entity
Predicate nickname P55 FINISHED
Object Harry
Harry is the hard-boiled Los Angeles homicide detective protagonist of Michael Connelly’s crime novel series.
E1134780 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 Bosch, nickname, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [Harry Bosch, nickname, 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 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.
  • C. 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.
  • D. Harry
    Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
  • E. Harry
    Harry is a character in the Peaky Blinders universe who becomes a victim of Arthur Shelby’s violent control and exploitation.
  • 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 Bosch, nickname, Harry]
Generated description
Harry is the hard-boiled Los Angeles homicide detective protagonist of Michael Connelly’s crime novel series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry
Target entity description: Harry is the hard-boiled Los Angeles homicide detective protagonist of Michael Connelly’s crime novel series.
  • A. Harry
    Harry is the tough, no-nonsense San Francisco police inspector famously known as "Dirty Harry" from the American crime film series.
  • B. Harry
    Harry is a fictional character best known as the leader of a group of professional thieves in the 2018 heist film "Widows."
  • C. Harry
    Harry is the young wizard protagonist of J.K. Rowling's Harry Potter series, known for surviving Voldemort's attack and attending Hogwarts School of Witchcraft and Wizardry.
  • D. Harry
    Harry is a character in the Peaky Blinders universe who becomes a victim of Arthur Shelby’s violent control and exploitation.
  • E. Harry
    Harry is a central character in William T. Vollmann’s novel "You Bright and Risen Angels," a sprawling, surreal political allegory blending technology, revolution, and myth.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea6bf2558819082fc91fe8df6f3f5 completed May 9, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fea8018a088190b6eba72a7e6196b2 completed May 9, 2026, 3:20 a.m.
Created at: April 10, 2026, 3:02 a.m.