Triple

T19859319
Position Surface form Disambiguated ID Type / Status
Subject Let Love In E477214 entity
Predicate producer P490 FINISHED
Object Victor Van Vugt NE NERFINISHED

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: Victor Van Vugt | Statement: [Let Love In, producer, Victor Van Vugt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Van Vugt
Context triple: [Let Love In, producer, Victor Van Vugt]
  • A. Victor Van Vugt chosen
    Victor Van Vugt is an Australian record producer and mixer known for his work with artists such as Nick Cave and the Bad Seeds, PJ Harvey, and Beth Orton.
  • B. Thomas Rongen
    Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
  • C. Pieter R. de Jong
    Pieter R. de Jong is a Dutch professional who studied at Utrecht University and is recognized as a notable alumnus for his contributions in his field.
  • D. John Verhoogen
    John Verhoogen was a prominent 20th-century geophysicist known for his influential work on the thermal and dynamic evolution of the Earth’s interior.
  • E. Jan T. Kleyna
    Jan T. Kleyna is an astronomer known for discovering outer irregular moons of Jupiter, including Taygete.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586e8b648190bb650d7f2816dda1 completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.