Triple

T12970445
Position Surface form Disambiguated ID Type / Status
Subject William Roberts E321378 entity
Predicate hasFamilyName P18 FINISHED
Object Roberts
Roberts is a common English and Welsh surname derived from the given name Robert, borne by numerous notable individuals across various fields.
E938305 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: Roberts | Statement: [William Roberts, hasFamilyName, Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberts
Context triple: [William Roberts, hasFamilyName, Roberts]
  • A. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • B. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • C. John
    John is the given name of John Finnis, a prominent legal philosopher known for his work on natural law theory.
  • D. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • E. John
    John is the given name of John Foxe the Younger, an English clergyman and son of the martyrologist John Foxe.
  • 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: Roberts
Triple: [William Roberts, hasFamilyName, Roberts]
Generated description
Roberts is a common English and Welsh surname derived from the given name Robert, borne by numerous notable individuals across various fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roberts
Target entity description: Roberts is a common English and Welsh surname derived from the given name Robert, borne by numerous notable individuals across various fields.
  • A. Roberts
    Roberts is the maiden surname of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • B. Roberts
    Roberts is the territorial designation associated with British Army commander Earl Roberts, a prominent military figure of the late 19th and early 20th centuries.
  • C. Roberts chosen
    Roberts is a common English and Welsh surname derived from the given name Robert, borne by numerous notable individuals across various fields.
  • D. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • E. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • F. None of above.

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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9db8164819086a3a27692d681d5 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb304f7c8190a02aa2c5f71cea89 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 8:34 p.m.