Triple

T12657287
Position Surface form Disambiguated ID Type / Status
Subject For Keeps? E302317 entity
Predicate title P38 FINISHED
Object For Keeps?
For Keeps? is a 1988 American romantic comedy-drama film starring Molly Ringwald as a pregnant high school senior navigating young parenthood.
 E302317 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: For Keeps? | Statement: [For Keeps?, title, For Keeps?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: For Keeps?
Context triple: [For Keeps?, title, For Keeps?]
  • A. Keep You Much Longer
    "Keep You Much Longer" is an R&B song by American singer Akon from his 2008 album "Freedom."
  • B. Let’s Keep It That Way
    "Let’s Keep It That Way" is a 1978 country-pop studio album by Canadian singer Anne Murray that features the hit single "You Needed Me."
  • C. This Time for Keeps
    "This Time for Keeps" is a 1947 MGM musical film best known for its aquatic sequences starring Esther Williams and featuring Ray McDonald in a prominent role.
  • D. See Forever
    See Forever is the promotional slogan used by One World Observatory to evoke its expansive, panoramic views over New York City and beyond.
  • E. Please Stay
    "Please Stay" is a song by the Scottish alternative rock band Beecake, known for its melodic style and emotive vocals.
  • 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: For Keeps?
Triple: [For Keeps?, title, For Keeps?]
Generated description
For Keeps? is a 1988 American romantic comedy-drama film starring Molly Ringwald as a pregnant high school senior navigating young parenthood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: For Keeps?
Target entity description: For Keeps? is a 1988 American romantic comedy-drama film starring Molly Ringwald as a pregnant high school senior navigating young parenthood.
  • A. For Keeps? chosen
    For Keeps? is a 1988 coming-of-age comedy-drama film starring Molly Ringwald as a pregnant high school senior navigating teenage parenthood.
  • B. Keep You Much Longer
    "Keep You Much Longer" is an R&B song by American singer Akon from his 2008 album "Freedom."
  • C. Let’s Keep It That Way
    "Let’s Keep It That Way" is a 1978 country-pop studio album by Canadian singer Anne Murray that features the hit single "You Needed Me."
  • D. This Time for Keeps
    "This Time for Keeps" is a 1947 MGM musical film best known for its aquatic sequences starring Esther Williams and featuring Ray McDonald in a prominent role.
  • E. See Forever
    See Forever is the promotional slogan used by One World Observatory to evoke its expansive, panoramic views over New York City and beyond.
  • F. None of above.

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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961620b188190a8a8569f1133a9cf completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668832c7081909eb75429efba493e completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697e3a688190abd025df1112feba completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a9230608190bfe99290ca1679fa completed May 2, 2026, 9:20 p.m.
Created at: April 9, 2026, 5:18 p.m.