Triple

T22459127
Position Surface form Disambiguated ID Type / Status
Subject Harry Mulisch E555185 entity
Predicate givenName P17 FINISHED
Object Harry
Harry is the given name of Dutch writer Harry Mulisch, one of the most prominent postwar authors in the Netherlands.
E1537822 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 Mulisch, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [Harry Mulisch, givenName, Harry]
  • A. Harry
    Harry is the given name of Harry F. Byrd Sr., a prominent 20th-century American politician and long-serving U.S. Senator from Virginia.
  • B. 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.
  • 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 fictional character who appears in the narrative of "The Collection."
  • E. Harry
    Harry is the given name of Harry K. Thaw, the American millionaire best known for his 1906 murder of architect Stanford White in a scandalous crime of passion.
  • 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 Mulisch, givenName, Harry]
Generated description
Harry is the given name of Dutch writer Harry Mulisch, one of the most prominent postwar authors in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry
Target entity description: Harry is the given name of Dutch writer Harry Mulisch, one of the most prominent postwar authors in the Netherlands.
  • A. Harry
    Harry is the given name of Harry Kurnitz, an American playwright, screenwriter, and mystery novelist active in the mid-20th century.
  • B. Harry
    Harry is the nickname of Harry Dénis, a Dutch footballer who played as a defender in the early 20th century.
  • C. Harry
    Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
  • D. Harry
    Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
  • E. Harry
    Harry is a masculine given name of English origin commonly used in many English-speaking countries.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7e01fc8190825c3dc024484440 completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c8217ac8190af16df3d941446ce completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d1e3ba08190bf963526973cd462 completed May 18, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0dc247b88190b8c54084c5727941 completed May 18, 2026, 1:01 p.m.
Created at: April 16, 2026, 8:48 p.m.