Triple

T2478932
Position Surface form Disambiguated ID Type / Status
Subject Jubilee E55159 entity
Predicate notableSong P4 FINISHED
Object Just One of Those Things E118027 NE FINISHED

How this triple was built (2 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: Just One of Those Things | Statement: [Jubilee, notableSong, Just One of Those Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Just One of Those Things
Context triple: [Jubilee, notableSong, Just One of Those Things]
  • A. Just One of Those Things chosen
    "Just One of Those Things" is a popular jazz standard from the Great American Songbook, widely recorded by vocalists and instrumentalists since its debut in the 1930s.
  • B. 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.
  • C. Take a Chance on Me
    "Take a Chance on Me" is a hit pop song by the Swedish group ABBA, known for its catchy harmonies and prominent use in the musical and film "Mamma Mia!".
  • D. Everything to Me
    "Everything to Me" is an R&B ballad by American singer Monica that showcases her powerful vocals and emotional storytelling about love and devotion.
  • E. Lean on Me
    "Lean on Me" is a 1989 American drama film starring Morgan Freeman as a tough, unconventional high school principal working to reform a troubled inner-city school.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd15f95888190a94b5fef7fdf1bcb completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17aea398819092cb14b93abd0ff7 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.