Triple

T19990553
Position Surface form Disambiguated ID Type / Status
Subject Fred Weasley E494051 entity
Predicate givenName P17 FINISHED
Object Fred
Fred is one of the mischievous Weasley twins from the Harry Potter series, known for his humor, pranks, and role in founding Weasleys' Wizard Wheezes.
E1406319 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: Fred | Statement: [Fred Weasley, givenName, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred
Context triple: [Fred Weasley, givenName, Fred]
  • A. Fred
    Fred is the son of Fred Trump Jr. and the nephew of former U.S. President Donald Trump.
  • B. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • C. Fred
    Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
  • D. Fred
    Fred is the given name of Fred C. Koch, an American chemical engineer and industrialist who co-founded what became Koch Industries.
  • E. Fred
    Fred is the given name of American astronaut Fred Haise, best known as the lunar module pilot on the ill-fated Apollo 13 mission.
  • 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: Fred
Triple: [Fred Weasley, givenName, Fred]
Generated description
Fred is one of the mischievous Weasley twins from the Harry Potter series, known for his humor, pranks, and role in founding Weasleys' Wizard Wheezes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fred
Target entity description: Fred is one of the mischievous Weasley twins from the Harry Potter series, known for his humor, pranks, and role in founding Weasleys' Wizard Wheezes.
  • A. Fred
    Fred is a character in Noël Coward’s comedy play "Present Laughter," typically portrayed as a close friend and associate of the egocentric actor Garry Essendine.
  • B. Fred
    Fred is the affectionate nickname of Winifred "Fred" Burkle, a brilliant physicist and key character from the television series Angel.
  • C. Fred
    Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
  • D. Fred
    Fred is the irreverent, unconventional princess from the musical "Once Upon a Mattress," formally known as Princess Winnifred the Woebegone.
  • E. Fred
    Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe00b908190bda6b9a3a3281ec0 completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080501d1308190917e1842dacd3de9 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0808d323cc819086e6282aeef0f651 completed May 16, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0809652acc819098cc2c4f67b5ab66 completed May 16, 2026, 6:06 a.m.
Created at: April 11, 2026, 3:31 p.m.