Triple

T17553470
Position Surface form Disambiguated ID Type / Status
Subject King’s Printer to Edward VI E427529 entity
Predicate officeHolder P537 FINISHED
Object William Seres
William Seres was a 16th-century English Protestant printer notable for producing religious works during the reigns of Edward VI and Elizabeth I.
E1275790 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: William Seres | Statement: [King’s Printer to Edward VI, officeHolder, William Seres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Seres
Context triple: [King’s Printer to Edward VI, officeHolder, William Seres]
  • A. Andras Hamori
    Andras Hamori is a film producer known for his work on various international and independent movies.
  • B. Michael Szilágyi
    Michael Szilágyi was a 15th-century Hungarian nobleman and military leader, best known as the uncle and supporter of King Matthias Corvinus.
  • C. Bruno Pésery
    Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
  • D. Istvan Pely
    Istvan Pely is a video game artist and art director best known for his long-time work at Bethesda Game Studios on franchises like Fallout and The Elder Scrolls.
  • E. Laszlo Halasz
    Laszlo Halasz was a Hungarian-American conductor and opera director best known as the founding director of the New York City Opera.
  • 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: William Seres
Triple: [King’s Printer to Edward VI, officeHolder, William Seres]
Generated description
William Seres was a 16th-century English Protestant printer notable for producing religious works during the reigns of Edward VI and Elizabeth I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Seres
Target entity description: William Seres was a 16th-century English Protestant printer notable for producing religious works during the reigns of Edward VI and Elizabeth I.
  • A. Andras Hamori
    Andras Hamori is a film producer known for his work on various international and independent movies.
  • B. Michael Szilágyi
    Michael Szilágyi was a 15th-century Hungarian nobleman and military leader, best known as the uncle and supporter of King Matthias Corvinus.
  • C. Bruno Pésery
    Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
  • D. Istvan Pely
    Istvan Pely is a video game artist and art director best known for his long-time work at Bethesda Game Studios on franchises like Fallout and The Elder Scrolls.
  • E. Laszlo Halasz
    Laszlo Halasz was a Hungarian-American conductor and opera director best known as the founding director of the New York City Opera.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4561fcaf48190b2e45b77e5ff7d0f completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d292c4048190ba1f1b9fa74f7438 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d71c86e4819091f4e5f5ed24261f completed May 11, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_6a01d7a77e408190860c3c4e4dc769df completed May 11, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:50 a.m.