Triple

T4435124
Position Surface form Disambiguated ID Type / Status
Subject Last Train to Paris E95629 entity
Predicate singleFromAlbum P1995 FINISHED
Object Hello Good Morning E440713 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: Hello Good Morning | Statement: [Last Train to Paris, singleFromAlbum, Hello Good Morning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hello Good Morning
Context triple: [Last Train to Paris, singleFromAlbum, Hello Good Morning]
  • A. Hello Good Morning chosen
    "Hello Good Morning" is a song by Diddy – Dirty Money from the album *Last Train to Paris*, known for its dance-pop and electro-influenced production.
  • B. Good Morning Good Morning
    "Good Morning Good Morning" is a 1967 Beatles song written primarily by John Lennon, notable for its brassy arrangement, shifting time signatures, and use of animal sound effects.
  • C. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • D. Hello
    "Hello" is a 1984 soft rock ballad by Lionel Richie, renowned for its emotive lyrics, iconic music video, and enduring popularity as one of his signature songs.
  • E. Hello
    "Hello" is a globally successful power ballad by English singer Adele, known for its emotive vocals and themes of nostalgia and regret.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35588e99881908fea7b71a33e2bb6 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628002e208190a68c659abd348040 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:31 p.m.