Triple

T22321786
Position Surface form Disambiguated ID Type / Status
Subject Cokie Roberts E551804 entity
Predicate familyName P18 FINISHED
Object Roberts
Roberts is a common English-language surname borne by numerous notable figures in politics, media, sports, and the arts.
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: [Cokie Roberts, familyName, Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberts
Context triple: [Cokie 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 one of the middle names of Crown Prince Christian of Denmark, the heir apparent to the Danish throne.
  • C. John
    John is the first name of Professor Frink, the eccentric scientist character from the animated television series "The Simpsons."
  • D. John
    John is the given name of John Parker Hale, a prominent 19th-century American politician and early anti-slavery advocate from New Hampshire.
  • E. John
    John Murphy is a common personal name shared by numerous individuals across various professions and regions.
  • 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: [Cokie Roberts, familyName, Roberts]
Generated description
Roberts is a common English-language surname borne by numerous notable figures in politics, media, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roberts
Target entity description: Roberts is a common English-language surname borne by numerous notable figures in politics, media, sports, and the arts.
  • 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 B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • E. John
    John is one of the middle names of Crown Prince Christian of Denmark, the heir apparent to the Danish throne.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15764d3a48190af79ce4642b7f563 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad51a87688190ad638880953172c7 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:42 p.m.