Triple

T12065648
Position Surface form Disambiguated ID Type / Status
Subject Tony Roberts E287287 entity
Predicate familyName 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: [Tony Roberts, familyName, Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberts
Context triple: [Tony Roberts, familyName, 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 is the first name of John Ottman, an American film editor and composer known for his work on major Hollywood movies.
  • C. John
    John is the given name of Lord Eldon, a prominent British lawyer and politician who served as Lord Chancellor in the early 19th century.
  • D. John
    John is the given name of John Henry Kagi, an American abolitionist who served as a key lieutenant to John Brown during the raid on Harpers Ferry.
  • E. John
    John III, Duke of Brittany, was a 14th-century French nobleman who ruled the Duchy of Brittany and played a key role in the succession disputes that led to the Breton War of Succession.
  • 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: [Tony Roberts, familyName, 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 is the husband of Martha Rainsborough.
  • E. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f656f4f481909a1ecac3f89da374 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:48 p.m.