Triple

T11263911
Position Surface form Disambiguated ID Type / Status
Subject Roberta E266632 entity
Predicate starring P1507 FINISHED
Object Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
E1020934 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: Claire Dodd | Statement: [Roberta, starring, Claire Dodd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Dodd
Context triple: [Roberta, starring, Claire Dodd]
  • A. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • B. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • C. Claire Douglas
    Claire Douglas was the second wife of reclusive American author J. D. Salinger and the mother of two of his children.
  • D. Claire Brialey
    Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
  • E. Claire Craig
    Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
  • 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: Claire Dodd
Triple: [Roberta, starring, Claire Dodd]
Generated description
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claire Dodd
Target entity description: Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
  • A. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • B. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • C. Claire Douglas
    Claire Douglas was the second wife of reclusive American author J. D. Salinger and the mother of two of his children.
  • D. Claire Brialey
    Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
  • E. Claire Craig
    Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e2b0408190866bbe9a3a56928b completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:31 p.m.