Triple

T4038100
Position Surface form Disambiguated ID Type / Status
Subject E. B. Fred E83875 entity
Predicate familyName P18 FINISHED
Object Fred
Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
E408357 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: [E. B. Fred, familyName, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred
Context triple: [E. B. Fred, familyName, Fred]
  • A. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • B. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • 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. Frank
    Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
  • E. Frank
    Frank is the given name of Frank Oz, the renowned puppeteer, actor, and director best known for his work with the Muppets and on Star Wars.
  • 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: [E. B. Fred, familyName, Fred]
Generated description
Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fred
Target entity description: Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
  • A. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • B. 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."
  • C. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • D. Frank
    Frank is a key supporting character in the post-apocalyptic horror film "28 Days Later," known as a protective father trying to keep his daughter safe amid a devastating viral outbreak in London.
  • E. Frank
    Frank is the given name of Frank Abagnale Jr., the infamous former con artist whose life inspired the film "Catch Me If You Can."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3656f08190aa5286d951013646 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.