Triple

T14834650
Position Surface form Disambiguated ID Type / Status
Subject Sam Waterston E348796 entity
Predicate child P120 FINISHED
Object Graham Waterston
Graham Waterston is an American filmmaker and the son of acclaimed actor Sam Waterston.
E1122118 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: Graham Waterston | Statement: [Sam Waterston, child, Graham Waterston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Waterston
Context triple: [Sam Waterston, child, Graham Waterston]
  • A. David Gwillim
    David Gwillim is a British actor known for his work in television and film, particularly in period dramas and literary adaptations.
  • B. Ian M. Stewart
    Ian M. Stewart is a television and live-event producer known for overseeing large-scale broadcast productions, including NBC’s musical specials.
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • E. Ian Stewart
    Ian Stewart was a Scottish keyboardist best known as a founding member and longtime pianist for the Rolling Stones.
  • 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: Graham Waterston
Triple: [Sam Waterston, child, Graham Waterston]
Generated description
Graham Waterston is an American filmmaker and the son of acclaimed actor Sam Waterston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graham Waterston
Target entity description: Graham Waterston is an American filmmaker and the son of acclaimed actor Sam Waterston.
  • A. David Gwillim
    David Gwillim is a British actor known for his work in television and film, particularly in period dramas and literary adaptations.
  • B. Ian M. Stewart
    Ian M. Stewart is a television and live-event producer known for overseeing large-scale broadcast productions, including NBC’s musical specials.
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • E. Ian Stewart
    Ian Stewart is a British Labour politician who became the inaugural directly elected mayor of the city of Salford.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a5d8888190821988ad00351d05 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3c99aae48190be6a4bd5914217f3 completed May 8, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69fe3d0122bc8190baa8c694ade8cc26 completed May 8, 2026, 7:44 p.m.
Created at: April 10, 2026, 1:52 a.m.