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.