Triple
T6620986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Astor |
E149671
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object |
Goodbye, Darling, Be Happy
"Goodbye, Darling, Be Happy" is a memoir by American actress Mary Astor, reflecting on her personal life and Hollywood career.
|
E601191
|
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: Goodbye, Darling, Be Happy | Statement: [Mary Astor, wrote, Goodbye, Darling, Be Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodbye, Darling, Be Happy Context triple: [Mary Astor, wrote, Goodbye, Darling, Be Happy]
-
A.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
-
B.
The Bye Bye Man
The Bye Bye Man is a 2017 American supernatural horror film about a malevolent entity whose power grows when people speak or even think his name.
-
C.
Good Goodbye
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
-
D.
My Happy Ending
"My Happy Ending" is a 2004 pop-punk breakup anthem by Avril Lavigne, known for its emotional lyrics and powerful chorus.
-
E.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
- 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: Goodbye, Darling, Be Happy Triple: [Mary Astor, wrote, Goodbye, Darling, Be Happy]
Generated description
"Goodbye, Darling, Be Happy" is a memoir by American actress Mary Astor, reflecting on her personal life and Hollywood career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goodbye, Darling, Be Happy Target entity description: "Goodbye, Darling, Be Happy" is a memoir by American actress Mary Astor, reflecting on her personal life and Hollywood career.
-
A.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
-
B.
The Bye Bye Man
The Bye Bye Man is a 2017 American supernatural horror film about a malevolent entity whose power grows when people speak or even think his name.
-
C.
Good Goodbye
"Good Goodbye" is a pop ballad performed by American Idol alumna Diana DeGarmo, showcasing her powerful vocals and emotional delivery.
-
D.
My Happy Ending
"My Happy Ending" is a 2004 pop-punk breakup anthem by Avril Lavigne, known for its emotional lyrics and powerful chorus.
-
E.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.