Triple

T14136023
Position Surface form Disambiguated ID Type / Status
Subject Matt Roberts E350296 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: [Matt Roberts, familyName, Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberts
Context triple: [Matt Roberts, familyName, Roberts]
  • A. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • B. 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.
  • C. John
    John is the given name of John Hopfield, an American physicist and neuroscientist known for pioneering work on Hopfield networks in artificial intelligence.
  • D. John
    John of Brandenburg-Küstrin was a 16th-century German nobleman who ruled the Margraviate of Brandenburg-Küstrin and played a notable role in the politics of the Holy Roman Empire.
  • E. John
    John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
  • 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: [Matt 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 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf14439c81908b2a9999a35cc346 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce396360481909fe12fdee307d00d completed May 7, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69fce3d07f048190833bd56b46a9f5fb completed May 7, 2026, 7:11 p.m.
Created at: April 10, 2026, 12:13 a.m.