Triple

T15863022
Position Surface form Disambiguated ID Type / Status
Subject Lois Maxwell E384637 entity
Predicate spouse P13 FINISHED
Object Peter Marriott
Peter Marriott was the husband of Canadian actress Lois Maxwell, best known for originating the role of Miss Moneypenny in the James Bond film series.
E1180918 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: Peter Marriott | Statement: [Lois Maxwell, spouse, Peter Marriott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Marriott
Context triple: [Lois Maxwell, spouse, Peter Marriott]
  • A. David Marriott
    David Marriott is a business executive and member of the Marriott family who serves in a top leadership role at Marriott International.
  • B. Peter Milne
    Peter Milne was a screenwriter known for his work on classic Hollywood films, including the legal drama "The Verdict."
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Paul Broughton
    Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
  • E. Robert John Skilton
    Robert John Skilton is a legendary Australian rules footballer widely regarded as one of the greatest players in the history of the sport.
  • 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: Peter Marriott
Triple: [Lois Maxwell, spouse, Peter Marriott]
Generated description
Peter Marriott was the husband of Canadian actress Lois Maxwell, best known for originating the role of Miss Moneypenny in the James Bond film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Marriott
Target entity description: Peter Marriott was the husband of Canadian actress Lois Maxwell, best known for originating the role of Miss Moneypenny in the James Bond film series.
  • A. David Marriott
    David Marriott is a business executive and member of the Marriott family who serves in a top leadership role at Marriott International.
  • B. Peter Milne
    Peter Milne was a screenwriter known for his work on classic Hollywood films, including the legal drama "The Verdict."
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Paul Broughton
    Paul Broughton is an actor best known for his role in the British television drama series "The Lakes."
  • E. Robert John Skilton
    Robert John Skilton is a legendary Australian rules footballer widely regarded as one of the greatest players in the history of the sport.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555d38fc8190bd8820bb5b238b71 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:50 a.m.