Triple

T4323540
Position Surface form Disambiguated ID Type / Status
Subject Morning Train (Nine to Five) E96576 entity
Predicate followedBySingle P134 FINISHED
Object One Man Woman
"One Man Woman" is a song by Sheena Easton released in 1980 as a follow-up single to her breakthrough hit "Morning Train (Nine to Five)."
E432343 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: One Man Woman | Statement: [Morning Train (Nine to Five), followedBySingle, One Man Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Man Woman
Context triple: [Morning Train (Nine to Five), followedBySingle, One Man Woman]
  • A. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • B. A Man and a Woman
    "A Man and a Woman" is a romantic rock song by U2 from their 2004 album *How to Dismantle an Atomic Bomb*.
  • C. Any Man of Mine
    "Any Man of Mine" is a 1995 country-pop hit song by Shania Twain that became one of her signature tracks and a breakthrough crossover success.
  • D. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • E. 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.
  • 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: One Man Woman
Triple: [Morning Train (Nine to Five), followedBySingle, One Man Woman]
Generated description
"One Man Woman" is a song by Sheena Easton released in 1980 as a follow-up single to her breakthrough hit "Morning Train (Nine to Five)."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: One Man Woman
Target entity description: "One Man Woman" is a song by Sheena Easton released in 1980 as a follow-up single to her breakthrough hit "Morning Train (Nine to Five)."
  • A. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • B. A Man and a Woman
    "A Man and a Woman" is a romantic rock song by U2 from their 2004 album *How to Dismantle an Atomic Bomb*.
  • C. Any Man of Mine
    "Any Man of Mine" is a 1995 country-pop hit song by Shania Twain that became one of her signature tracks and a breakthrough crossover success.
  • D. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • E. 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.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35118abe481908b7987019be217e1 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d4607a688190a3a7352579ea5ee7 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d51068dc819099ac28361188dcc4 completed March 14, 2026, 9:37 p.m.
Created at: March 12, 2026, 11:13 p.m.