Triple

T15492913
Position Surface form Disambiguated ID Type / Status
Subject Harry Woods E378741 entity
Predicate givenName P17 FINISHED
Object Harry
Harry is a common masculine given name, often used in English-speaking countries as a standalone name or 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 Woods, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harry
Context triple: [Harry Woods, 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 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 Woods, givenName, Harry]
Generated description
Harry is a common masculine given name, often used in English-speaking countries as a standalone name or 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 common masculine given name, often used in English-speaking countries as a standalone name or 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 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 English actor Harry Treadaway, known for roles in film and television such as "Penny Dreadful."
  • D. Harry
    Harry is the given first name of the famed American singer and actor Bing Crosby.
  • E. Harry
    Harry is the given name of Harry Joseph Letterman, the son of American television host David Letterman.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff373558c88190983792d12956886e completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37c1b1e081909662b37eb5a2da1a completed May 9, 2026, 1:33 p.m.
Created at: April 10, 2026, 3:49 a.m.