Triple

T8115780
Position Surface form Disambiguated ID Type / Status
Subject Left to My Own Devices E189469 entity
Predicate chartedIn P19348 FINISHED
Object Dutch Top 40 E588340 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: Dutch Top 40 | Statement: [Left to My Own Devices, chartedIn, Dutch Top 40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch Top 40
Context triple: [Left to My Own Devices, chartedIn, Dutch Top 40]
  • A. Dutch Singles Chart chosen
    The Dutch Singles Chart is a national music ranking in the Netherlands that lists the most popular singles based on sales, streaming, and airplay.
  • B. European Hot 100
    The European Hot 100 was a pan-European music singles chart that ranked the most popular songs across numerous European countries.
  • C. The Voice of Holland
    The Voice of Holland is the original Dutch reality television singing competition that launched the global "The Voice" franchise format.
  • D. Radio Oranje
    Radio Oranje was a Dutch-language radio program broadcast by the exiled Dutch government from London during World War II to inform and encourage the occupied Netherlands.
  • E. Canada’s Top Ten
    Canada’s Top Ten is an annual program that showcases the year’s best Canadian films, curated and presented by the Toronto International Film Festival.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944439488190b95788e3a77ee732 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.