Triple

T5227053
Position Surface form Disambiguated ID Type / Status
Subject Panama Hattie E118015 entity
Predicate hasSong P20452 FINISHED
Object God Bless the Woman
"God Bless the Woman" is a song from the 1940 Broadway musical comedy *Panama Hattie*, with music and lyrics by Cole Porter.
 E502652 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: God Bless the Woman | Statement: [Panama Hattie, hasSong, God Bless the Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: God Bless the Woman
Context triple: [Panama Hattie, hasSong, God Bless the Woman]
  • A. Bless the Woman
    Bless the Woman is a Russian drama film best known for its portrayal of a woman's life and sacrifices across turbulent decades of Soviet history.
  • B. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • C. Four Women
    "Four Women" is a powerful 1966 song by Nina Simone that portrays the struggles and identities of four Black women, highlighting themes of racism, sexism, and resilience.
  • D. She’s a Woman
    "She’s a Woman" is a song from the musical *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
  • E. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • 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: God Bless the Woman
Triple: [Panama Hattie, hasSong, God Bless the Woman]
Generated description
"God Bless the Woman" is a song from the 1940 Broadway musical comedy *Panama Hattie*, with music and lyrics by Cole Porter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: God Bless the Woman
Target entity description: "God Bless the Woman" is a song from the 1940 Broadway musical comedy *Panama Hattie*, with music and lyrics by Cole Porter.
  • A. Bless the Woman
    Bless the Woman is a Russian drama film best known for its portrayal of a woman's life and sacrifices across turbulent decades of Soviet history.
  • B. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • C. Four Women
    "Four Women" is a powerful 1966 song by Nina Simone that portrays the struggles and identities of four Black women, highlighting themes of racism, sexism, and resilience.
  • D. She’s a Woman
    "She’s a Woman" is a song from the musical *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
  • E. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7addbdb88190baf9f47fc4cbb7fc completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffea8f481909c86c932781c4e2a completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef097f5e48190b8a28995f345c764 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef0f0ceb081908600d75b6e52f45a completed March 21, 2026, 7:26 p.m.
Created at: March 20, 2026, 1:48 p.m.