Triple

T14413891
Position Surface form Disambiguated ID Type / Status
Subject The Hospital E357398 entity
Predicate editedBy P1954 FINISHED
Object Eric Albertson
Eric Albertson is an editor known for his work on the publication "The Hospital."
E1097699 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: Eric Albertson | Statement: [The Hospital, editedBy, Eric Albertson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Albertson
Context triple: [The Hospital, editedBy, Eric Albertson]
  • A. Carl Skottsberg
    Carl Skottsberg was a Swedish botanist and explorer renowned for his pioneering research on subantarctic and Antarctic flora.
  • B. Christian Berge
    Christian Berge is a former Norwegian handball player and prominent coach, best known for leading Norway’s men’s national team to international success.
  • C. Albert Paulsen
    Albert Paulsen was an Ecuadorian-American character actor known for his frequent villainous roles in American film and television during the 1960s and 1970s.
  • D. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • E. George Schaefer
    George Schaefer was an American film executive and producer best known for his leadership at RKO Radio Pictures during the early 1940s, where he supported innovative projects such as Orson Welles’s work.
  • 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: Eric Albertson
Triple: [The Hospital, editedBy, Eric Albertson]
Generated description
Eric Albertson is an editor known for his work on the publication "The Hospital."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eric Albertson
Target entity description: Eric Albertson is an editor known for his work on the publication "The Hospital."
  • A. Carl Skottsberg
    Carl Skottsberg was a Swedish botanist and explorer renowned for his pioneering research on subantarctic and Antarctic flora.
  • B. Christian Berge
    Christian Berge is a former Norwegian handball player and prominent coach, best known for leading Norway’s men’s national team to international success.
  • C. Albert Paulsen
    Albert Paulsen was an Ecuadorian-American character actor known for his frequent villainous roles in American film and television during the 1960s and 1970s.
  • D. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • E. George Schaefer
    George Schaefer was an American film executive and producer best known for his leadership at RKO Radio Pictures during the early 1940s, where he supported innovative projects such as Orson Welles’s work.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.