Triple

T20684964
Position Surface form Disambiguated ID Type / Status
Subject Harry Earles E508389 entity
Predicate givenName P17 FINISHED
Object Harry
Harry Earles was a German-born American actor and dwarf performer best known for his roles in early 20th-century films such as "Freaks" and "The Wizard of Oz."
E1445880 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 Earles, givenName, Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry
Context triple: [Harry Earles, 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 Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
  • C. Harry
    Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
  • D. Harry
    Harry is the given first name of Major League Baseball manager and former pitcher Bud Black.
  • E. Harry
    Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
  • 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 Earles, givenName, Harry]
Generated description
Harry Earles was a German-born American actor and dwarf performer best known for his roles in early 20th-century films such as "Freaks" and "The Wizard of Oz."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry
Target entity description: Harry Earles was a German-born American actor and dwarf performer best known for his roles in early 20th-century films such as "Freaks" and "The Wizard of Oz."
  • A. Harry
    Harry is the given name of American character actor and musician Harry Dean Stanton, known for his distinctive roles in film and television.
  • B. Harry
    Harry is the given name of American actor Harry Guardino, known for his work in film, television, and theater during the mid-20th century.
  • C. Harry
    Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
  • D. Harry
    Harry is the given name of American comedian and actor Harry Einstein, known for his radio character "Parkyakarkus."
  • E. Harry
    Harry is the given name of Harry Shearer, an American actor, comedian, writer, musician, and voice artist best known for his work on The Simpsons and in the mockumentary This Is Spinal Tap.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7de62a8819088a43b43dc7873ec completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08da13f584819090d491c821e12f29 completed May 16, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08daae48048190a71c46941d2a5d36 completed May 16, 2026, 8:59 p.m.
Created at: April 16, 2026, 11:45 a.m.