Triple
T2172693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Scorsese |
E48459
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
|
E339093
|
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: Helen Morris | Statement: [Martin Scorsese, spouse, Helen Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Morris Context triple: [Martin Scorsese, spouse, Helen Morris]
-
A.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
B.
Helen Gibbins
Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
-
C.
Helen Muir
Helen Muir was the daughter of famed naturalist and conservationist John Muir, who helped preserve and promote her father's legacy.
-
D.
Aileen Britton
Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
-
E.
Helen Spurway
Helen Spurway was a British geneticist and biologist known for her research on guppies and evolutionary biology, as well as for her collaboration with and marriage to J. B. S. Haldane.
- 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: Helen Morris Triple: [Martin Scorsese, spouse, Helen Morris]
Generated description
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Morris Target entity description: Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
A.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
B.
Helen Gibbins
Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
-
C.
Helen Muir
Helen Muir was the daughter of famed naturalist and conservationist John Muir, who helped preserve and promote her father's legacy.
-
D.
Aileen Britton
Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
-
E.
Helen Spurway
Helen Spurway was a British geneticist and biologist known for her research on guppies and evolutionary biology, as well as for her collaboration with and marriage to J. B. S. Haldane.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbec98a648190907ef4c6cad916d3 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276a3cfa48190b0ecee43d24046e6 |
completed | March 12, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b2778f5d848190b5ae405f3e777992 |
completed | March 12, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27879ff6081909f7d7f474d46ac4b |
completed | March 12, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:45 p.m.