Triple

T1129579
Position Surface form Disambiguated ID Type / Status
Subject Funny Girl E24796 entity
Predicate notableSong P4 FINISHED
Object My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
 E129928 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: My Man | Statement: [Funny Girl, notableSong, My Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Man
Context triple: [Funny Girl, notableSong, My Man]
  • A. I’m Your Man
    I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
  • B. Sweet Music Man
    "Sweet Music Man" is a country ballad written and originally recorded by Kenny Rogers, known for its reflective lyrics about the struggles of a fading music star.
  • C. Love That Man
    "Love That Man" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
  • D. All Mine
    "All Mine" is a minimalist, sexually charged R&B track by Kanye West (Ye) from his 2018 album *Ye*, known for its sparse production and catchy vocal hook.
  • E. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • 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: My Man
Triple: [Funny Girl, notableSong, My Man]
Generated description
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Man
Target entity description: "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • A. I’m Your Man
    I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
  • B. Sweet Music Man
    "Sweet Music Man" is a country ballad written and originally recorded by Kenny Rogers, known for its reflective lyrics about the struggles of a fading music star.
  • C. Love That Man
    "Love That Man" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
  • D. All Mine
    "All Mine" is a minimalist, sexually charged R&B track by Kanye West (Ye) from his 2018 album *Ye*, known for its sparse production and catchy vocal hook.
  • E. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a82bb8819084f77aff9af653c0 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a97f1408190855d8ea4f4317b07 completed March 7, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac5b1b5930819098f511db269e991d completed March 7, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:44 p.m.