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.