Triple

T1864715
Position Surface form Disambiguated ID Type / Status
Subject Never Say Never E34893 entity
Predicate hasPart P35 FINISHED
Object Top of the World E184923 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: Top of the World | Statement: [Never Say Never, hasPart, Top of the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Top of the World
Context triple: [Never Say Never, hasPart, Top of the World]
  • A. Top of the World chosen
    "Top of the World" is a popular Afrobeat-influenced song by Nigerian artist D'banj that gained wide recognition, including use as an anthem during major African football events.
  • B. I’m Sitting on Top of the World
    "I'm Sitting on Top of the World" is a popular early 20th-century American song that became a standard, widely recorded by various artists across jazz and popular music.
  • C. Up in the World
    Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
  • D. At the Top
    At the Top is the Burj Khalifa’s main public observation experience, offering panoramic views of Dubai from some of the world’s highest viewing platforms.
  • E. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0a0b4b881908b07c07db624701d completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d540c0819099558507bdf2ffa4 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.