Triple

T19546031
Position Surface form Disambiguated ID Type / Status
Subject Harry Shannon E489051 entity
Predicate givenName P17 FINISHED
Object Harry
Harry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Henry or Harold.
 E178727 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 Shannon, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harry
Context triple: [Harry Shannon, givenName, Harry]
  • A. Harry
    Harry is the given first name of Roy Halladay, the late Hall of Fame Major League Baseball pitcher renowned for his dominance with the Toronto Blue Jays and Philadelphia Phillies.
  • B. 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.
  • C. Harry
    Harry is the introspective, regretful writer who reflects on his wasted potential and failed relationships while facing death in Ernest Hemingway’s short story "The Snows of Kilimanjaro."
  • D. Harry
    Harry is the given name of Harry Selfridge, the American-born retail magnate who founded the Selfridges department store in London.
  • E. Harry
    Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
  • 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 Shannon, givenName, Harry]
Generated description
Harry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Henry or Harold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harry
Target entity description: Harry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Henry or Harold.
  • A. Harry chosen
    Harry is a masculine given name of English origin commonly used in many English-speaking countries.
  • B. Harry
    Harry is the commonly used nickname of English football manager and former player Harry Redknapp.
  • 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 Joseph Letterman, the son of American television host David Letterman.
  • E. 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.
  • F. None of above.

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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e88cacc8190815e08fd224c4804 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074f23337c8190bcdd4aa3d5a6daf3 completed May 15, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a074fde73f48190ad334e97fb4454c7 completed May 15, 2026, 4:54 p.m.
Created at: April 10, 2026, 1:41 p.m.