Triple

T20268546
Position Surface form Disambiguated ID Type / Status
Subject Marry Me E499030 entity
Predicate hasPart P35 FINISHED
Object All My Stars Aligned
"All My Stars Aligned" is a song featured on the soundtrack of the romantic comedy film "Marry Me."
E1420319 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: All My Stars Aligned | Statement: [Marry Me, hasPart, All My Stars Aligned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All My Stars Aligned
Context triple: [Marry Me, hasPart, All My Stars Aligned]
  • A. All About the Stars
    All About the Stars is a popular science book for young readers by Anne Terry White that introduces and explains basic concepts about stars and astronomy.
  • B. Release the Stars
    Release the Stars is a 2007 studio album by singer-songwriter Rufus Wainwright, noted for its lush orchestration and theatrical pop compositions.
  • C. So Many Stars
    "So Many Stars" is a gentle, jazz-inflected bossa nova song popularized by Sérgio Mendes & Brasil '66, known for its lush harmonies and romantic, introspective lyrics.
  • D. Straight to the Stars
    "Straight to the Stars" is a song featured on the album "Trail of Stars."
  • E. Calling From The Stars
    "Calling From The Stars" is a double album by French DJ and producer Miss Kittin that blends electroclash, techno, and synth-pop into a reflective, atmospheric electronic sound.
  • 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: All My Stars Aligned
Triple: [Marry Me, hasPart, All My Stars Aligned]
Generated description
"All My Stars Aligned" is a song featured on the soundtrack of the romantic comedy film "Marry Me."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: All My Stars Aligned
Target entity description: "All My Stars Aligned" is a song featured on the soundtrack of the romantic comedy film "Marry Me."
  • A. All About the Stars
    All About the Stars is a popular science book for young readers by Anne Terry White that introduces and explains basic concepts about stars and astronomy.
  • B. Release the Stars
    Release the Stars is a 2007 studio album by singer-songwriter Rufus Wainwright, noted for its lush orchestration and theatrical pop compositions.
  • C. So Many Stars
    "So Many Stars" is a gentle, jazz-inflected bossa nova song popularized by Sérgio Mendes & Brasil '66, known for its lush harmonies and romantic, introspective lyrics.
  • D. Straight to the Stars
    "Straight to the Stars" is a song featured on the album "Trail of Stars."
  • E. Calling From The Stars
    "Calling From The Stars" is a double album by French DJ and producer Miss Kittin that blends electroclash, techno, and synth-pop into a reflective, atmospheric electronic sound.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dbb7ac8190a40c527f2c02ca50 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085537abf481908a7b7d700adb63b0 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855fad28c81908c1516b64b8b1dc8 completed May 16, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a08569e603881908e28fec3e8f5f5aa completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:42 p.m.