Triple

T8484400
Position Surface form Disambiguated ID Type / Status
Subject Al Jarreau E200795 entity
Predicate notableSong P4 FINISHED
Object "Mornin'"
"Mornin'" is a smooth jazz and R&B song by Al Jarreau, best known for its upbeat, feel-good vibe and signature vocal style.
 E735685 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: "Mornin'" | Statement: [Al Jarreau, notableSong, "Mornin'"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Mornin'"
Context triple: [Al Jarreau, notableSong, "Mornin'"]
  • A. Slow Mornin'
    "Slow Mornin'" is a track featured on the album *Romance Dance* by Kim Carnes.
  • B. Joy in the Morning
    "Joy in the Morning" is a comic novel in P. G. Wodehouse’s Jeeves and Wooster series, featuring Bertie Wooster’s misadventures and the ingenious problem-solving of his valet Jeeves.
  • C. "In the Morning"
    "In the Morning" is a soulful R&B ballad by American singer Ledisi that showcases her powerful vocals and emotive songwriting.
  • D. I Got the Sun in the Mornin’
    "I Got the Sun in the Mornin’" is a popular show tune by Irving Berlin from the classic Broadway musical *Annie Get Your Gun*.
  • E. Misty Morning
    Misty Morning is a song by Jamaican reggae artist Kaya, known for its mellow, atmospheric sound and reflective mood.
  • 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: "Mornin'"
Triple: [Al Jarreau, notableSong, "Mornin'"]
Generated description
"Mornin'" is a smooth jazz and R&B song by Al Jarreau, best known for its upbeat, feel-good vibe and signature vocal style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Mornin'"
Target entity description: "Mornin'" is a smooth jazz and R&B song by Al Jarreau, best known for its upbeat, feel-good vibe and signature vocal style.
  • A. Slow Mornin'
    "Slow Mornin'" is a track featured on the album *Romance Dance* by Kim Carnes.
  • B. Joy in the Morning
    "Joy in the Morning" is a comic novel in P. G. Wodehouse’s Jeeves and Wooster series, featuring Bertie Wooster’s misadventures and the ingenious problem-solving of his valet Jeeves.
  • C. "In the Morning"
    "In the Morning" is a soulful R&B ballad by American singer Ledisi that showcases her powerful vocals and emotive songwriting.
  • D. I Got the Sun in the Mornin’
    "I Got the Sun in the Mornin’" is a popular show tune by Irving Berlin from the classic Broadway musical *Annie Get Your Gun*.
  • E. Misty Morning
    Misty Morning is a song by Jamaican reggae artist Kaya, known for its mellow, atmospheric sound and reflective mood.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.