Triple
T6591156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Marlow |
E159359
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
He Laughed Last (film)
He Laughed Last is a mid-20th-century American film best known for featuring actress Lucy Marlow in a prominent role.
|
E599619
|
NE FINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: He Laughed Last (film) | Statement: [Lucy Marlow, notableWork, He Laughed Last (film)]
Disambiguation candidates (2 decisions)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Laughed Last (film) Context triple: [Lucy Marlow, notableWork, He Laughed Last (film)]
-
A.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
B.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
C.
The Last of the Red Hot Mamas
The Last of the Red Hot Mamas is the famous stage nickname of Sophie Tucker, a pioneering 20th-century American singer and comedian known for her bold, brassy performance style.
-
D.
They All Laughed
They All Laughed is a 1981 romantic comedy film blending screwball humor and bittersweet romance, directed by Peter Bogdanovich and set in New York City.
-
E.
They All Laughed
"They All Laughed" is a classic popular song by George and Ira Gershwin, known for its witty lyrics and memorable melody, introduced in the 1937 film "Shall We Dance."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: He Laughed Last (film) Target entity description: He Laughed Last is a mid-20th-century American film best known for featuring actress Lucy Marlow in a prominent role.
-
A.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
B.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
C.
The Last of the Red Hot Mamas
The Last of the Red Hot Mamas is the famous stage nickname of Sophie Tucker, a pioneering 20th-century American singer and comedian known for her bold, brassy performance style.
-
D.
They All Laughed
They All Laughed is a 1981 romantic comedy film blending screwball humor and bittersweet romance, directed by Peter Bogdanovich and set in New York City.
-
E.
They All Laughed
"They All Laughed" is a classic popular song by George and Ira Gershwin, known for its witty lyrics and memorable melody, introduced in the 1937 film "Shall We Dance."
- F. None of above. chosen
How the object was described
The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.
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: He Laughed Last (film) Triple: [Lucy Marlow, notableWork, He Laughed Last (film)]
Generated description
He Laughed Last is a mid-20th-century American film best known for featuring actress Lucy Marlow in a prominent role.
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69c688366ce8819083f8883983c0df92 |
elicitation | completed |
| NER | batch_69c6aecc969c81909a6e15ebe8dd3f94 |
ner | completed |
| NED1 | batch_69c6cbb568508190b9da3475d1620ed5 |
ned_source_triple | completed |
| NED2 | batch_69c6cdc859cc8190bbae2efc39409021 |
ned_description | completed |
| NEDg | batch_69c6cd08a9c88190a481d4d3f8e680bf |
nedg | completed |
Created at: March 27, 2026, 1:55 p.m.