Triple

T6966402
Position Surface form Disambiguated ID Type / Status
Subject Jeff Barry E161498 entity
Predicate coWriterOf P2389 FINISHED
Object Sugar, Sugar E631700 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: Sugar, Sugar | Statement: [Jeff Barry, coWriterOf, Sugar, Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar, Sugar
Context triple: [Jeff Barry, coWriterOf, Sugar, Sugar]
  • A. Sugar, Sugar chosen
    "Sugar, Sugar" is a 1969 bubblegum pop song by The Archies that became a massive international hit and a defining track of the genre.
  • B. A Spoonful of Sugar
    "A Spoonful of Sugar" is a popular, upbeat song from the 1964 Disney film Mary Poppins, best known for Julie Andrews’s performance and its cheerful message about finding fun in work.
  • C. Honey, Honey
    "Honey, Honey" is a catchy pop song by the Swedish group ABBA, featured prominently in the musical and film adaptation of *Mamma Mia!* as one of its early ensemble numbers.
  • D. Pour Some Sugar on Me
    "Pour Some Sugar on Me" is a hit hard rock song by English band Def Leppard, best known as one of their signature tracks from the 1987 album "Hysteria."
  • E. Watermelon Sugar
    "Watermelon Sugar" is a hit pop song by English singer Harry Styles, known for its summery sound and widespread commercial success.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.