Triple
T10281648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm McDowell |
E241113
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Margot Bennett
Margot Bennett is an American actress and former publicist best known for her marriage to British actor Malcolm McDowell.
|
E854953
|
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: Margot Bennett | Statement: [Malcolm McDowell, spouse, Margot Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Bennett Context triple: [Malcolm McDowell, spouse, Margot Bennett]
-
A.
Margot Hand
Margot Hand is a film producer known for her work on the 2021 drama "Passing."
-
B.
Madeline Ashton
Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
-
C.
Lisa Bennett
Lisa Bennett is the paternal grandmother of Marli Bennett.
-
D.
Juliette Barnes
Juliette Barnes is a fictional country music superstar and complex, ambitious young singer from the television series "Nashville."
-
E.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
- 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: Margot Bennett Triple: [Malcolm McDowell, spouse, Margot Bennett]
Generated description
Margot Bennett is an American actress and former publicist best known for her marriage to British actor Malcolm McDowell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margot Bennett Target entity description: Margot Bennett is an American actress and former publicist best known for her marriage to British actor Malcolm McDowell.
-
A.
Margot Hand
Margot Hand is a film producer known for her work on the 2021 drama "Passing."
-
B.
Madeline Ashton
Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
-
C.
Lisa Bennett
Lisa Bennett is the paternal grandmother of Marli Bennett.
-
D.
Juliette Barnes
Juliette Barnes is a fictional country music superstar and complex, ambitious young singer from the television series "Nashville."
-
E.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d012ae481909633b1333dc88b63 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:39 a.m.